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hermes-agent/website/docs/reference/optional-skills-catalog.md
Teknium 5f91b1a48b
feat(skills): add osint-investigation optional skill (closes #355) (#26729) 
* feat(skills): add osint-investigation optional skill (closes #355)

Phase-1 public-records OSINT investigation framework adapted from
ShinMegamiBoson/OpenPlanter (MIT). Lives in optional-skills/research/.

Six data-source wiki entries (FEC, SEC EDGAR, USAspending, Senate LD,
OFAC SDN, ICIJ Offshore Leaks), each following the 9-section template:
summary, access, schema, coverage, cross-reference keys, data quality,
acquisition, legal, references.

Six stdlib-only acquisition scripts that emit normalized CSV, plus three
analysis scripts:

  - entity_resolution.py  — three-tier match (exact / fuzzy / token overlap)
                            with explicit confidence per row
  - timing_analysis.py    — permutation test for donation/contract timing
                            correlation, joins through cross-links
  - build_findings.py     — assembles structured findings.json with
                            evidence chains pointing back to source rows

Validation: full pipeline runs end-to-end on synthetic fixtures. Entity
resolution found 24 cross-matches with 0 false positives on a 5-row /
4-row test set. Timing analysis on 5 donations clustered near 3 awards
returned p=0.000, effect size 2.41 SD. Findings JSON correctly tags
HIGH-severity timing pattern. All 9 scripts pass --help and py_compile.

Docs site page auto-generated by website/scripts/generate-skill-docs.py;
sidebar + catalog entries updated by the same generator.

* fix(osint-investigation): live API fixes from end-to-end sweep

Live-tested the skill on a real public-citizen query and found three bugs
the synthetic E2E missed. All three are now fixed and re-verified.

1. FEC fetch hung on contributor name searches.
   The combination of two_year_transaction_period + sort=date +
   contributor_name puts the OpenFEC query plan on a slow path that the
   upstream gateway times out (25s+). Switched to min_date/max_date with no
   explicit sort. Renamed --candidate to --contributor (the original name
   was misleading: FEC searches by donor, not by candidate; --candidate is
   kept as a deprecated alias). Added --state filter for narrowing.

2. ICIJ Offshore Leaks reconcile endpoint returns 404.
   ICIJ removed the Open Refine reconciliation API. Rewrote
   fetch_icij_offshore.py to download the official bulk CSV ZIP (~70 MB,
   public, no auth) and search it locally. Cached under
   $HERMES_OSINT_CACHE/icij/ (default ~/.cache/hermes-osint/icij/) for
   30 days, --force-refresh to refetch. Verified live: 'PUTIN' query
   returns 5 Panama Papers officer matches in 0.5s after first download.

3. SEC EDGAR silently returned 0 when the company-name resolver matched
   an individual Form 3/4/5 filer (insider trading disclosures).
   Now surfaces 'Resolved company X → CIK Y (Z)' on stderr, prints a
   filing-type histogram when the type filter wipes results, and
   explicitly warns when the matched CIK appears to be an individual
   filer rather than a corporate registrant.

Bonus: _http.py was retrying 429 responses with exponential backoff plus
honoring (often-missing) Retry-After headers, which compounded into
multi-second hangs per page when the upstream key was over quota.
Changed to fail-fast on 429 with a clear, actionable error showing the
upstream's quota message. Verified: 0.3s fast-fail vs the previous 60s
hang on DEMO_KEY rate-limit exhaustion.

Updated SKILL.md, fec.md, and icij-offshore.md to match the new CLI
flags and ICIJ bulk-cache flow. Regenerated the docusaurus page via
website/scripts/generate-skill-docs.py.

Live sweep results across all 6 sources for 'Dillon Rolnick, New York':
- OFAC SDN: 0 matches ✓ (correctly not sanctioned)
- USAspending: 0 matches ✓ (correctly not a federal contractor)
- Senate LDA: 0 matches ✓ (correctly not a lobbying client)
- SEC EDGAR: warns it resolved to 'Rolnick Michael' (CIK 0001845264)
    who is an individual Form 3 filer, not a corporate registrant
- ICIJ: 0 matches ✓ (correctly not in any offshore leak)
- FEC: rate-limited (DEMO_KEY); fails fast with clear quota message

* feat(osint-investigation): expand to 12 sources covering identity, property, courts, archives, news

Phase-2 expansion per Teknium feedback that the original 6-source skill
(federal financial/regulatory only) wasn't a complete OSINT toolkit. Adds
6 more sources covering the major omissions a real investigation would
reach for first.

New sources (6 fetch scripts + 6 wiki entries):

1. NYC ACRIS — Real property records (deeds, mortgages, liens) via the
   city's Socrata API. Search by party name or property address. Joins
   Parties to Master to populate doc_type, dates, borough, and amount.
   Coverage: 5 NYC boroughs, ~70M party records, 1966-present.

2. OpenCorporates — Global corporate registry covering 130+ jurisdictions
   (~200M companies). Free API token at
   https://opencorporates.com/api_accounts/new raises the rate limit;
   HTML fallback works without one (limited fields).

3. CourtListener (Free Law Project) — federal + state court opinions
   (~10M back to colonial era) + PACER dockets via RECAP. Anonymous v4
   search works; COURTLISTENER_TOKEN raises rate limits.

4. Wayback Machine CDX — historical web captures (~900B+). Used both for
   surveillance-of-record (when did this site change?) and as a
   content-recovery layer when other sources point to dead URLs.

5. Wikipedia + Wikidata — narrative bio + structured facts. Wikipedia
   OpenSearch for article matching, REST summary for extracts, Wikidata
   Action API (wbgetentities) for claims. Avoids the SPARQL Query
   Service which is aggressively rate-limited.

6. GDELT 2.0 DOC API — global news monitoring in 100+ languages,
   ~2015-present. Auto-retries with 6s backoff on the standard
   1-req-per-5-sec throttle.

Other changes in this commit:

- SEC EDGAR no longer raises SystemExit when the company-name resolver
  finds no CIK; writes an empty CSV with header so the rest of a
  pipeline can keep moving and the warning is just on stderr.

- _http.py User-Agent updated per Wikimedia policy: includes app name,
  version, and a 'set HERMES_OSINT_UA to identify yourself' instruction.

- SKILL.md workflow now groups sources into two clusters (federal
  financial vs identity/property/courts/archives/news) with bash
  examples for each. 'When to use this skill' lists the broader set of
  investigation patterns the expanded sources unlock.

Live sweep results on 'Dillon Rolnick, New York' across all 12 sources:

  ofac           ✓ 0 (correctly clean)
  icij           ✓ 0 (correctly not in any leak)
  usaspending    ✓ 0 (correctly not a federal contractor)
  senate_lda     ✓ 0 (correctly not a lobbying client)
  sec_edgar      ✓ 0, warns: resolved to 'Rolnick Michael' (CIK 0001845264),
                   individual Form 3 filer, NOT a corporate registrant
  fec            — rate-limited (DEMO_KEY exhausted), fails fast with
                   clear quota message
  nyc_acris      ✓ 200 records named Rolnick across NYC; 48 records at
                   571 Hudson (the property the web identifies as his)
  opencorporates ✓ 0 (no API token configured; HTML fallback)
  courtlistener  ✓ 0 for 'Dillon Rolnick'; 20 for 'Rolnick' generally;
                   5 for 'Microsoft' sanity check
  wayback        ✓ 30 captures of nousresearch.com from 2011-present
  wikipedia      ✓ 0 (correctly not notable enough); Bill Gates sanity
                   returns full structured facts (occupation, employer,
                   DOB, place of birth, country)
  gdelt          ✓ 0 for 'Dillon Rolnick'; 5 for 'Nous Research'

All 17 scripts compile clean and pass --help. Synthetic analysis pipeline
regression still passes (entity_resolution 30 matches, timing p=0.000,
findings 2).

* feat(osint-investigation): remove FEC; DEMO_KEY rate-limits make it unreliable

The FEC fetcher consistently failed the live sweep because the OpenFEC
DEMO_KEY tier (40 calls/hour) exhausts on a single investigation, and
the upstream returns slow-path query plans for unindexed contributor-name
searches that the gateway times out. Without a real API key it's not
usable; with one the user has to sign up at api.data.gov first. That's
too much setup friction for a skill that should work out of the box.

Removed:
  - scripts/fetch_fec.py
  - references/sources/fec.md

Updated:
  - SKILL.md frontmatter description + tags
  - 'When NOT to use' now points users at https://www.fec.gov/data/ for
    federal donations
  - entity_resolution example switched from donor↔contractor to
    lobbying-client↔contractor (Senate LDA + USAspending pair)
  - timing_analysis example switched to lobbying-filings vs awards
  - 8 wiki entries had their 'FEC ↔ ...' cross-reference bullets removed

11 sources remain (5 federal financial + 6 identity/property/courts/
archives/news). All scripts compile, pass --help, and the synthetic
analysis pipeline still passes on the new lobbying-shaped regression
fixture (30 matches, p=0.000 on tight clustering, 2 findings).
2026-05-16 01:55:06 -07:00

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---
sidebar_position: 9
title: "Optional Skills Catalog"
description: "Official optional skills shipped with hermes-agent — install via hermes skills install official/<category>/<skill>"
---
# Optional Skills Catalog
Optional skills ship with hermes-agent under `optional-skills/` but are **not active by default**. Install them explicitly:
```bash
hermes skills install official/<category>/<skill>
```
For example:
```bash
hermes skills install official/blockchain/solana
hermes skills install official/mlops/flash-attention
```
Each skill below links to a dedicated page with its full definition, setup, and usage.
To uninstall:
```bash
hermes skills uninstall <skill-name>
```
## autonomous-ai-agents
| Skill | Description |
|-------|-------------|
| [**blackbox**](/docs/user-guide/skills/optional/autonomous-ai-agents/autonomous-ai-agents-blackbox) | Delegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. Requires the blackbox CLI and a Blackbox AI API key. |
| [**honcho**](/docs/user-guide/skills/optional/autonomous-ai-agents/autonomous-ai-agents-honcho) | Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshoo... |
## blockchain
| Skill | Description |
|-------|-------------|
| [**evm**](/docs/user-guide/skills/optional/blockchain/blockchain-evm) | Read-only EVM client: wallets, tokens, gas across 8 chains. |
| [**hyperliquid**](/docs/user-guide/skills/optional/blockchain/blockchain-hyperliquid) | Hyperliquid market data, account history, trade review. |
| [**solana**](/docs/user-guide/skills/optional/blockchain/blockchain-solana) | Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required. |
## communication
| Skill | Description |
|-------|-------------|
| [**one-three-one-rule**](/docs/user-guide/skills/optional/communication/communication-one-three-one-rule) | Structured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill p... |
## creative
| Skill | Description |
|-------|-------------|
| [**blender-mcp**](/docs/user-guide/skills/optional/creative/creative-blender-mcp) | Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender. |
| [**concept-diagrams**](/docs/user-guide/skills/optional/creative/creative-concept-diagrams) | Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and no... |
| [**hyperframes**](/docs/user-guide/skills/optional/creative/creative-hyperframes) | Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants... |
| [**kanban-video-orchestrator**](/docs/user-guide/skills/optional/creative/creative-kanban-video-orchestrator) | Plan, set up, and monitor a multi-agent video production pipeline backed by Hermes Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loo... |
| [**meme-generation**](/docs/user-guide/skills/optional/creative/creative-meme-generation) | Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files. |
## devops
| Skill | Description |
|-------|-------------|
| [**inference-sh-cli**](/docs/user-guide/skills/optional/devops/devops-cli) | Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedrea... |
| [**docker-management**](/docs/user-guide/skills/optional/devops/devops-docker-management) | Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization. |
| [**pinggy-tunnel**](/docs/user-guide/skills/optional/devops/devops-pinggy-tunnel) | Zero-install localhost tunnels over SSH via Pinggy. |
| [**watchers**](/docs/user-guide/skills/optional/devops/devops-watchers) | Poll RSS, JSON APIs, and GitHub with watermark dedup. |
## dogfood
| Skill | Description |
|-------|-------------|
| [**adversarial-ux-test**](/docs/user-guide/skills/optional/dogfood/dogfood-adversarial-ux-test) | Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable ticke... |
## email
| Skill | Description |
|-------|-------------|
| [**agentmail**](/docs/user-guide/skills/optional/email/email-agentmail) | Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to). |
## finance
| Skill | Description |
|-------|-------------|
| [**3-statement-model**](/docs/user-guide/skills/optional/finance/finance-3-statement-model) | Build fully-integrated 3-statement models (IS, BS, CF) in Excel with working capital schedules, D&A roll-forwards, debt schedule, and the plugs that make cash and retained earnings tie. Pairs with excel-author. |
| [**comps-analysis**](/docs/user-guide/skills/optional/finance/finance-comps-analysis) | Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection. |
| [**dcf-model**](/docs/user-guide/skills/optional/finance/finance-dcf-model) | Build institutional-quality DCF valuation models in Excel — revenue projections, FCF build, WACC, terminal value, Bear/Base/Bull scenarios, 5x5 sensitivity tables. Pairs with excel-author. Use for intrinsic-value equity analysis. |
| [**excel-author**](/docs/user-guide/skills/optional/finance/finance-excel-author) | Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations. |
| [**lbo-model**](/docs/user-guide/skills/optional/finance/finance-lbo-model) | Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch. |
| [**merger-model**](/docs/user-guide/skills/optional/finance/finance-merger-model) | Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation. |
| [**pptx-author**](/docs/user-guide/skills/optional/finance/finance-pptx-author) | Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes. |
| [**stocks**](/docs/user-guide/skills/optional/finance/finance-stocks) | Stock quotes, history, search, compare, crypto via Yahoo. |
## health
| Skill | Description |
|-------|-------------|
| [**fitness-nutrition**](/docs/user-guide/skills/optional/health/health-fitness-nutrition) | Gym workout planner and nutrition tracker. Search 690+ exercises by muscle, equipment, or category via wger. Look up macros and calories for 380,000+ foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro splits, and body... |
| [**neuroskill-bci**](/docs/user-guide/skills/optional/health/health-neuroskill-bci) | Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses.... |
## mcp
| Skill | Description |
|-------|-------------|
| [**fastmcp**](/docs/user-guide/skills/optional/mcp/mcp-fastmcp) | Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cur... |
| [**mcporter**](/docs/user-guide/skills/optional/mcp/mcp-mcporter) | Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation. |
## migration
| Skill | Description |
|-------|-------------|
| [**openclaw-migration**](/docs/user-guide/skills/optional/migration/migration-openclaw-migration) | Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be mig... |
## mlops
| Skill | Description |
|-------|-------------|
| [**huggingface-accelerate**](/docs/user-guide/skills/optional/mlops/mlops-accelerate) | Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch comm... |
| [**axolotl**](/docs/user-guide/skills/optional/mlops/mlops-training-axolotl) | Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO). |
| [**chroma**](/docs/user-guide/skills/optional/mlops/mlops-chroma) | Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG... |
| [**clip**](/docs/user-guide/skills/optional/mlops/mlops-clip) | OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks w... |
| [**faiss**](/docs/user-guide/skills/optional/mlops/mlops-faiss) | Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or whe... |
| [**optimizing-attention-flash**](/docs/user-guide/skills/optional/mlops/mlops-flash-attention) | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster in... |
| [**guidance**](/docs/user-guide/skills/optional/mlops/mlops-guidance) | Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework |
| [**huggingface-tokenizers**](/docs/user-guide/skills/optional/mlops/mlops-huggingface-tokenizers) | Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in &lt;20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integ... |
| [**instructor**](/docs/user-guide/skills/optional/mlops/mlops-instructor) | Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library |
| [**lambda-labs-gpu-cloud**](/docs/user-guide/skills/optional/mlops/mlops-lambda-labs) | Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training. |
| [**llava**](/docs/user-guide/skills/optional/mlops/mlops-llava) | Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruct... |
| [**modal-serverless-gpu**](/docs/user-guide/skills/optional/mlops/mlops-modal) | Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling. |
| [**nemo-curator**](/docs/user-guide/skills/optional/mlops/mlops-nemo-curator) | GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs wit... |
| [**outlines**](/docs/user-guide/skills/optional/mlops/mlops-inference-outlines) | Outlines: structured JSON/regex/Pydantic LLM generation. |
| [**peft-fine-tuning**](/docs/user-guide/skills/optional/mlops/mlops-peft) | Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train &lt;1% of parameters with minimal accuracy loss, or for multi-adapter se... |
| [**pinecone**](/docs/user-guide/skills/optional/mlops/mlops-pinecone) | Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (&lt;100ms p95). Use for production RAG, recommendation systems, or se... |
| [**pytorch-fsdp**](/docs/user-guide/skills/optional/mlops/mlops-pytorch-fsdp) | Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2 |
| [**pytorch-lightning**](/docs/user-guide/skills/optional/mlops/mlops-pytorch-lightning) | High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops w... |
| [**qdrant-vector-search**](/docs/user-guide/skills/optional/mlops/mlops-qdrant) | High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered per... |
| [**sparse-autoencoder-training**](/docs/user-guide/skills/optional/mlops/mlops-saelens) | Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying... |
| [**simpo-training**](/docs/user-guide/skills/optional/mlops/mlops-simpo) | Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpl... |
| [**slime-rl-training**](/docs/user-guide/skills/optional/mlops/mlops-slime) | Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling. |
| [**stable-diffusion-image-generation**](/docs/user-guide/skills/optional/mlops/mlops-stable-diffusion) | State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines. |
| [**tensorrt-llm**](/docs/user-guide/skills/optional/mlops/mlops-tensorrt-llm) | Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantizatio... |
| [**distributed-llm-pretraining-torchtitan**](/docs/user-guide/skills/optional/mlops/mlops-torchtitan) | Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and dist... |
| [**fine-tuning-with-trl**](/docs/user-guide/skills/optional/mlops/mlops-training-trl-fine-tuning) | TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF. |
| [**unsloth**](/docs/user-guide/skills/optional/mlops/mlops-training-unsloth) | Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM. |
| [**whisper**](/docs/user-guide/skills/optional/mlops/mlops-whisper) | OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast... |
## productivity
| Skill | Description |
|-------|-------------|
| [**canvas**](/docs/user-guide/skills/optional/productivity/productivity-canvas) | Canvas LMS integration — fetch enrolled courses and assignments using API token authentication. |
| [**here.now**](/docs/user-guide/skills/optional/productivity/productivity-here-now) | Publish static sites to &#123;slug&#125;.here.now and store private files in cloud Drives for agent-to-agent handoff. |
| [**memento-flashcards**](/docs/user-guide/skills/optional/productivity/productivity-memento-flashcards) | Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/impor... |
| [**shop-app**](/docs/user-guide/skills/optional/productivity/productivity-shop-app) | Shop.app: product search, order tracking, returns, reorder. |
| [**shopify**](/docs/user-guide/skills/optional/productivity/productivity-shopify) | Shopify Admin & Storefront GraphQL APIs via curl. Products, orders, customers, inventory, metafields. |
| [**siyuan**](/docs/user-guide/skills/optional/productivity/productivity-siyuan) | SiYuan Note API for searching, reading, creating, and managing blocks and documents in a self-hosted knowledge base via curl. |
| [**telephony**](/docs/user-guide/skills/optional/productivity/productivity-telephony) | Give Hermes phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi. |
## research
| Skill | Description |
|-------|-------------|
| [**bioinformatics**](/docs/user-guide/skills/optional/research/research-bioinformatics) | Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on... |
| [**darwinian-evolver**](/docs/user-guide/skills/optional/research/research-darwinian-evolver) | Evolve prompts/regex/SQL/code with Imbue's evolution loop. |
| [**domain-intel**](/docs/user-guide/skills/optional/research/research-domain-intel) | Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required. |
| [**drug-discovery**](/docs/user-guide/skills/optional/research/research-drug-discovery) | Pharmaceutical research assistant for drug discovery workflows. Search bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED, TPSA, synthetic accessibility), look up drug-drug interactions via OpenFDA, interpret ADMET... |
| [**duckduckgo-search**](/docs/user-guide/skills/optional/research/research-duckduckgo-search) | Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime. |
| [**gitnexus-explorer**](/docs/user-guide/skills/optional/research/research-gitnexus-explorer) | Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel. |
| [**osint-investigation**](/docs/user-guide/skills/optional/research/research-osint-investigation) | Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates registries, CourtListener court records, Wayback... |
| [**parallel-cli**](/docs/user-guide/skills/optional/research/research-parallel-cli) | Optional vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, FindAll, and monitoring. Prefer JSON output and non-interactive flows. |
| [**qmd**](/docs/user-guide/skills/optional/research/research-qmd) | Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration. |
| [**scrapling**](/docs/user-guide/skills/optional/research/research-scrapling) | Web scraping with Scrapling - HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python. |
| [**searxng-search**](/docs/user-guide/skills/optional/research/research-searxng-search) | Free meta-search via SearXNG — aggregates results from 70+ search engines. Self-hosted or use a public instance. No API key needed. Falls back automatically when the web search toolset is unavailable. |
## security
| Skill | Description |
|-------|-------------|
| [**1password**](/docs/user-guide/skills/optional/security/security-1password) | Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands. |
| [**oss-forensics**](/docs/user-guide/skills/optional/security/security-oss-forensics) | Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories. Covers deleted commit recovery, force-push detection, IOC extraction, multi-source evidence collection, hypothesis formation/validation, and st... |
| [**sherlock**](/docs/user-guide/skills/optional/security/security-sherlock) | OSINT username search across 400+ social networks. Hunt down social media accounts by username. |
## software-development
| Skill | Description |
|-------|-------------|
| [**rest-graphql-debug**](/docs/user-guide/skills/optional/software-development/software-development-rest-graphql-debug) | Debug REST/GraphQL APIs: status codes, auth, schemas, repro. |
## web-development
| Skill | Description |
|-------|-------------|
| [**page-agent**](/docs/user-guide/skills/optional/web-development/web-development-page-agent) | Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single &lt;script> tag or npm package and lets end-users of your site drive the UI with natural language ("click login, fill userna... |
---
## Contributing Optional Skills
To add a new optional skill to the repository:
1. Create a directory under `optional-skills/<category>/<skill-name>/`
2. Add a `SKILL.md` with standard frontmatter (name, description, version, author)
3. Include any supporting files in `references/`, `templates/`, or `scripts/` subdirectories
4. Submit a pull request — the skill will appear in this catalog and get its own docs page once merged
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