Skills

Skillforge

Use when creating, improving, finding, or auditing agent skills - the user says 'create...

Install

npx skills add tripleyak/SkillForge --skill skillforge -g -a claude-code -y
Category
Testing
Updated
3mo ago
License
MIT
Context cost
Mediumabout 2,117 tokens
Runs scripts
No, instructions only

What it does

Use when creating, improving, finding, or auditing agent skills - the user says 'create a skill', 'do I have a skill for X', 'improve the X skill', 'which skill should I use', asks whether a skill exists for a task, or wants to validate, test, evaluate, package, or health-check skills. Also use for skill ecosystem maintenance (duplicate detection, stale skills, trigger collisions) and advisor checkpoints.

SkillForge 6 - Skill Router, Creator & Ecosystem Maintainer

Routes any skill-related request to the right action (use, improve, create, compose), creates new skills through an evidence-driven pipeline, and maintains the health of the whole skill ecosystem. Core principle: skill quality is a property of behavior, not documents - a skill is done when a fresh agent demonstrably does better with it than without it.

Routing (Phase 0)

Always triage before creating anything:

python3 scripts/discover_skills.py            # refresh index (auto-refreshes if >24h old)
python3 scripts/triage_skill_request.py "<the user's request>" --json
Triage resultAction
Strong match (existing skill)Recommend it; do not create a duplicate
Moderate matchOffer IMPROVE_EXISTING on the matched skill
Weak/no match + create intentProceed to creation pipeline
Multi-domainSuggest composing existing skills
AmbiguousAsk one clarifying question

Match bands are keyword-evidence heuristics, not calibrated probabilities - report them as "strong/moderate/weak match", never as percent confidence.

Creation pipeline

Run phases in order. Each phase's detailed procedure lives in its reference - read the reference when you reach the phase, not before.

0. Baseline gate (RED). Before designing anything, dispatch a fresh subagent (Task tool) on 1-2 representative target tasks WITHOUT the skill. Capture verbatim what it does wrong. If the baseline does not fail, stop - the skill is unnecessary. The failures become the skill's test cases and its description keywords. See references/testing-and-evals.md.

Read the whole SKILL.md on GitHub

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