hermes-agent/skills/productivity/airtable/SKILL.md
Teknium 98db898c0b feat(skills): declare platforms frontmatter for all 79 undeclared built-in skills
Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.

74 skills declared cross-platform (platforms: [linux, macos, windows]):
  Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
    baoyu-infographic, claude-design, creative-ideation, design-md,
    excalidraw, humanizer, manim-video, p5js, pixel-art,
    popular-web-designs, pretext, sketch, songwriting-and-ai-music,
    touchdesigner-mcp
  Autonomous agents: claude-code, codex, hermes-agent, opencode
  Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
    webhook-subscriptions, dogfood, codebase-inspection
  GitHub: github-auth, github-code-review, github-issues,
    github-pr-workflow, github-repo-management
  Media: gif-search, heartmula, songsee, spotify, youtube-content
  MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
    pokemon-player, obsidian, openhue
  mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
    outlines, segment-anything-model, dspy, trl-fine-tuning
  Productivity: airtable, google-workspace, linear, maps, nano-pdf,
    notion, ocr-and-documents, powerpoint
  Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
    polymarket
  Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
    node-inspect-debugger, plan, requesting-code-review, spike,
    subagent-driven-development, systematic-debugging,
    test-driven-development, writing-plans
  Misc: yuanbao

5 skills gated from Windows (platforms: [linux, macos]):
  mlops/inference/vllm (serving-llms-vllm)
    vLLM is officially Linux-only; Windows requires WSL.
  mlops/training/axolotl
    Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
  mlops/training/unsloth
    Requires Triton + xformers + flash-attn — Linux only in practice.
  mlops/models/audiocraft (audiocraft-audio-generation)
    torchaudio ffmpeg backend + encodec dependencies are Linux-first.
  mlops/inference/obliteratus
    Research abliteration workflow; relies on Linux-focused pytorch
    kernels and MLX — no first-class Windows path.

Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.

Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.
2026-05-08 14:27:40 -07:00

11 KiB

name description version author license platforms prerequisites metadata
airtable Airtable REST API via curl. Records CRUD, filters, upserts. 1.1.0 community MIT
linux
macos
windows
env_vars commands
AIRTABLE_API_KEY
curl
hermes
tags homepage
Airtable
Productivity
Database
API
https://airtable.com/developers/web/api/introduction

Airtable — Bases, Tables & Records

Work with Airtable's REST API directly via curl using the terminal tool. No MCP server, no OAuth flow, no Python SDK — just curl and a personal access token.

Prerequisites

  1. Create a Personal Access Token (PAT) at https://airtable.com/create/tokens (tokens start with pat...).
  2. Grant these scopes (minimum):
    • data.records:read — read rows
    • data.records:write — create / update / delete rows
    • schema.bases:read — list bases and tables
  3. Important: in the same token UI, add each base you want to access to the token's Access list. PATs are scoped per-base — a valid token on the wrong base returns 403.
  4. Store the token in ~/.hermes/.env (or via hermes setup):
    AIRTABLE_API_KEY=pat_your_token_here
    

Note: legacy key... API keys were deprecated Feb 2024. Only PATs and OAuth tokens work now.

API Basics

  • Endpoint: https://api.airtable.com/v0
  • Auth header: Authorization: Bearer $AIRTABLE_API_KEY
  • All requests use JSON (Content-Type: application/json for any POST/PATCH/PUT body).
  • Object IDs: bases app..., tables tbl..., records rec..., fields fld.... IDs never change; names can. Prefer IDs in automations.
  • Rate limit: 5 requests/sec/base. 429 → back off. Burst on a single base will be throttled.

Base curl pattern:

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?maxRecords=5" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

-s suppresses curl's progress bar — keep it set for every call so the tool output stays clean for Hermes. Pipe through python3 -m json.tool (always present) or jq (if installed) for readable JSON.

Field Types (request body shapes)

Field type Write shape
Single line text "Name": "hello"
Long text "Notes": "multi\nline"
Number "Score": 42
Checkbox "Done": true
Single select "Status": "Todo" (name must already exist unless typecast: true)
Multi-select "Tags": ["urgent", "bug"]
Date "Due": "2026-04-01"
DateTime (UTC) "At": "2026-04-01T14:30:00.000Z"
URL / Email / Phone "Link": "https://…"
Attachment "Files": [{"url": "https://…"}] (Airtable fetches + rehosts)
Linked record "Owner": ["recXXXXXXXXXXXXXX"] (array of record IDs)
User "AssignedTo": {"id": "usrXXXXXXXXXXXXXX"}

Pass "typecast": true at the top level of a create/update body to let Airtable auto-coerce values (e.g. create a new select option on the fly, convert "42"42).

Common Queries

List bases the token can see

curl -s "https://api.airtable.com/v0/meta/bases" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

List tables + schema for a base

curl -s "https://api.airtable.com/v0/meta/bases/$BASE_ID/tables" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Use this BEFORE mutating — confirms exact field names and IDs, surfaces options.choices for select fields, and shows primary-field names.

List records (first 10)

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?maxRecords=10" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Get a single record

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE/$RECORD_ID" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Filter records (filterByFormula)

Airtable formulas must be URL-encoded. Let Python stdlib do it — never hand-encode:

FORMULA="{Status}='Todo'"
ENC=$(python3 -c 'import sys, urllib.parse; print(urllib.parse.quote(sys.argv[1], safe=""))' "$FORMULA")
curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?filterByFormula=$ENC&maxRecords=20" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Useful formula patterns:

  • Exact match: {Email}='user@example.com'
  • Contains: FIND('bug', LOWER({Title}))
  • Multiple conditions: AND({Status}='Todo', {Priority}='High')
  • Or: OR({Owner}='alice', {Owner}='bob')
  • Not empty: NOT({Assignee}='')
  • Date comparison: IS_AFTER({Due}, TODAY())

Sort + select specific fields

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?sort%5B0%5D%5Bfield%5D=Priority&sort%5B0%5D%5Bdirection%5D=asc&fields%5B%5D=Name&fields%5B%5D=Status" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Square brackets in query params MUST be URL-encoded (%5B / %5D).

Use a named view

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?view=Grid%20view&maxRecords=50" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Views apply their saved filter + sort server-side.

Common Mutations

Create a record

curl -s -X POST "https://api.airtable.com/v0/$BASE_ID/$TABLE" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"fields":{"Name":"New task","Status":"Todo","Priority":"High"}}' | python3 -m json.tool

Create up to 10 records in one call

curl -s -X POST "https://api.airtable.com/v0/$BASE_ID/$TABLE" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "typecast": true,
    "records": [
      {"fields": {"Name": "Task A", "Status": "Todo"}},
      {"fields": {"Name": "Task B", "Status": "In progress"}}
    ]
  }' | python3 -m json.tool

Batch endpoints are capped at 10 records per request. For larger inserts, loop in batches of 10 with a short sleep to respect 5 req/sec/base.

Update a record (PATCH — merges, preserves unchanged fields)

curl -s -X PATCH "https://api.airtable.com/v0/$BASE_ID/$TABLE/$RECORD_ID" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"fields":{"Status":"Done"}}' | python3 -m json.tool

Upsert by a merge field (no ID needed)

curl -s -X PATCH "https://api.airtable.com/v0/$BASE_ID/$TABLE" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "performUpsert": {"fieldsToMergeOn": ["Email"]},
    "records": [
      {"fields": {"Email": "user@example.com", "Status": "Active"}}
    ]
  }' | python3 -m json.tool

performUpsert creates records whose merge-field values are new, patches records whose merge-field values already exist. Great for idempotent syncs.

Delete a record

curl -s -X DELETE "https://api.airtable.com/v0/$BASE_ID/$TABLE/$RECORD_ID" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Delete up to 10 records in one call

curl -s -X DELETE "https://api.airtable.com/v0/$BASE_ID/$TABLE?records%5B%5D=rec1&records%5B%5D=rec2" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

Pagination

List endpoints return at most 100 records per page. If the response includes "offset": "...", pass it back on the next call. Loop until the field is absent:

OFFSET=""
while :; do
  URL="https://api.airtable.com/v0/$BASE_ID/$TABLE?pageSize=100"
  [ -n "$OFFSET" ] && URL="$URL&offset=$OFFSET"
  RESP=$(curl -s "$URL" -H "Authorization: Bearer $AIRTABLE_API_KEY")
  echo "$RESP" | python3 -c 'import json,sys; d=json.load(sys.stdin); [print(r["id"], r["fields"].get("Name","")) for r in d["records"]]'
  OFFSET=$(echo "$RESP" | python3 -c 'import json,sys; d=json.load(sys.stdin); print(d.get("offset",""))')
  [ -z "$OFFSET" ] && break
done

Typical Hermes Workflow

  1. Confirm auth. curl -s -o /dev/null -w "%{http_code}\n" https://api.airtable.com/v0/meta/bases -H "Authorization: Bearer $AIRTABLE_API_KEY" — expect 200.
  2. Find the base. List bases (step above) OR ask the user for the app... ID directly if the token lacks schema.bases:read.
  3. Inspect the schema. GET /v0/meta/bases/$BASE_ID/tables — cache the exact field names and primary-field name locally in the session before mutating anything.
  4. Read before you write. For "update X where Y", filterByFormula first to resolve the rec... ID, then PATCH /v0/$BASE_ID/$TABLE/$RECORD_ID. Never guess record IDs.
  5. Batch writes. Combine related creates into one 10-record POST to stay under the 5 req/sec budget.
  6. Destructive ops. Deletions can't be undone via API. If the user says "delete all Xs", echo back the filter + record count and confirm before firing.

Pitfalls

  • filterByFormula MUST be URL-encoded. Field names with spaces or non-ASCII also need encoding ({My Field}%7BMy%20Field%7D). Use Python stdlib (pattern above) — never hand-escape.
  • Empty fields are omitted from responses. A missing "Assignee" key doesn't mean the field doesn't exist — it means this record's value is empty. Check the schema (step 3) before concluding a field is missing.
  • PATCH vs PUT. PATCH merges supplied fields into the record. PUT replaces the record entirely and clears any field you didn't include. Default to PATCH.
  • Single-select options must exist. Writing "Status": "Shipping" when Shipping isn't in the field's option list errors with INVALID_MULTIPLE_CHOICE_OPTIONS unless you pass "typecast": true (which auto-creates the option).
  • Per-base token scoping. A 403 on one base while another works means the token's Access list doesn't include that base — not a scope or auth issue. Send the user to https://airtable.com/create/tokens to grant it.
  • Rate limits are per base, not per token. 5 req/sec on baseA and 5 req/sec on baseB is fine; 6 req/sec on baseA alone will throttle. Monitor the Retry-After header on 429.

Important Notes for Hermes

  • Always use the terminal tool with curl. Do NOT use web_extract (it can't send auth headers) or browser_navigate (needs UI auth and is slow).
  • AIRTABLE_API_KEY flows from ~/.hermes/.env into the subprocess automatically when this skill is loaded — no need to re-export it before each curl call.
  • Escape curly braces in formulas carefully. In a heredoc body, {Status} is literal. In a shell argument, {Status} is safe outside {...} brace-expansion context — but pass dynamic strings through python3 urllib.parse.quote before splicing into a URL.
  • Pretty-print with python3 -m json.tool (always present) rather than jq (optional). Only reach for jq when you need filtering/projection.
  • Pagination is per-page, not global. Airtable's 100-record cap is a hard limit; there is no way to bump it. Loop with offset until the field is absent.
  • Read the errors array on non-2xx responses — Airtable returns structured error codes like AUTHENTICATION_REQUIRED, INVALID_PERMISSIONS, MODEL_ID_NOT_FOUND, INVALID_MULTIPLE_CHOICE_OPTIONS that tell you exactly what's wrong.