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knitbrain_compose_skill

Compose a project-tailored skill for any task, matching the user's own writing style from existing skills.

Instructions

Compose a NEW project-tailored skill for a task in the USER'S OWN composition style (learned from their existing .claude/skills — length, terseness) and persist it. Use when no existing skill fits; refine the body, then knitbrain_skill_save to update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe task this skill is for.
lessonsNoSeed lessons; if omitted, pulled from memory.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, but description discloses that it creates and persists a new skill using learned style. Lacks details on side effects or permissions, but sufficient for a creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two well-structured sentences, front-loaded with key action and context, no superfluous words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given only 2 parameters and no output schema, the description fully explains purpose, usage, and post-processing steps, making it complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% with descriptions. Description adds value by explaining 'lessons' can be omitted and will be pulled from memory, going beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it composes a new project-tailored skill in the user's own composition style. Distinguishes from siblings by specifying usage context and linking to knitbrain_skill_save.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use when no existing skill fits' and provides follow-up action ('refine the body, then knitbrain_skill_save to update'), offering clear when-to-use and next steps.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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