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feat(skills): stacked slash-skill invocations — /skill-a /skill-b do XYZ (#57987)
Inspired by Claude Code v2.1.199 (July 2, 2026): stacked slash-skill invocations load all leading skills (up to 5), not just the first. - agent/skill_commands.py: split_stacked_skill_commands() consumes leading /skill tokens (stops at the first non-skill token so slash-path arguments are never swallowed); build_stacked_skill_invocation_message() composes the multi-skill turn reusing the existing bundle scaffolding markers so extract_user_instruction_from_skill_message() keeps memory providers storing the user's instruction, not N skill bodies. - cli.py + gateway/run.py: dispatch the stacked path on both surfaces. - 11 new tests + docs section in skills.md.
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@ -62,6 +62,26 @@ Every installed skill is automatically available as a slash command:
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/excalidraw
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```
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### Stacking multiple skills in one command
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You can invoke several skills in a single message by chaining slash commands
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at the start — every leading `/skill` token (up to 5) is loaded, and the rest
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becomes your instruction:
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```bash
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/github-pr-workflow /test-driven-development fix issue #123 and open a PR
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```
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Parsing stops at the first token that isn't an installed skill, so arguments
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that happen to start with `/` (like file paths) are never swallowed:
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```bash
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/ocr-and-documents /tmp/scan.pdf extract the tables # loads one skill; /tmp/scan.pdf is the argument
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```
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For combinations you use repeatedly, prefer a [skill bundle](#skill-bundles) —
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same effect under one short command.
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The bundled `plan` skill is a good example. Running `/plan [request]` loads the skill's instructions, telling Hermes to inspect context if needed, write a markdown implementation plan instead of executing the task, and save the result under `.hermes/plans/` relative to the active workspace/backend working directory.
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You can also interact with skills through natural conversation:
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