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tripleyak

SkillForge

A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.

ApplicationsCodingPython
Open on GitHub
Momentum
+1stars in 24 hours+0.1%
910
Stars
93
Forks
+5
This week
1
Contributors
Created 2025-12-30 · Updated 2026-10-16 · #6054 today
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tripleyak

tripleyak/SkillForge is ranked 6,054 with 910 stars.

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tripleyak/SkillForge is ranked 6,054 among these 8 peers; sunbigfly/ppt-agent-skills is ranked 6,053.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryApplications
SubcategoryCoding
KeywordsAgent, Claude Code
Stars910
Forks93
Contributors1
Created date2025-12-30
Updated date2026-10-16
Stars in 1 day1
Stars in 7 days5
Rank6,054
Previous rank12,628
Rank change6,574
7-day stars rank5,665
Previous 7-day stars rank6,296
7-day stars rank change631
Total stars rank11,963
Previous total stars rank11,963
Total stars rank change0
CountryUSA
README summary

SkillForge v6 **A skill creator that proves its skills work. ** SkillForge routes any skill-related request (use, improve, create, compose), creates new skills through an evidence-driven pipeline, and maintains the health of your whole skill ecosystem. Its 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. What v6 changed (and why) v6 is a ground-up rework following a deep external

audit (see on the repo, not shipped with the skill). md with "progressive disclosure" | 1,158-word SKILL. md; depth lives in loaded on demand | | Descriptions = "what this skill does" | Descriptions = trigger conditions only (workflow summaries make agents skip the body) | | launchd background advisor that analyzed and queued into a file nothing read | Advisor delivered through Claude Code hooks (SessionStart + UserPromptSubmit), caps enforced, opt-in | | Personal-directory scanning on by default, hardcoded GitHub handles | Personal Context strictly opt-in with

recorded consent; no shipped defaults | | Hand-rolled YAML parser that failed SkillForge's own SKILL. md | One shared typed parser ( ), 100+ unit tests, and a regression test that SkillForge validates itself | | Index missed the Claude Code plugin cache entirely | Cross-runtime discovery: personal, Codex, Claude Code plugin cache; deduped; auto-refresh | The pipeline What no other skill creator has **Dedup before create** (Phase 0): an index of every skill across runtimes answers "should this exist? **Skills ship with their tests**: (trigger

queries + behavioral scenarios) + = regression testing for skills. **Ecosystem doctor**: finds trigger collisions between skills, duplicates, stale file references, budget violations, and pinned models across your entire roster. **Cross-runtime compile**: author once, . **Friction mining** (opt-in): finds skill gaps in your own local session history. **Proactive advisor** (opt-in): evidence-backed skill suggestions delivered via hooks, never auto-invoked. Install (Claude Code) Optional advisor + hooks (interactive, everything opt-in): Requirements: Claude Code (or Codex CLI), Python 3. 8+ (stdlib only

; PyYAML used if present). skill | | | Mine local transcripts for skill gaps | CI: copy into of any skill repo. Releases Version history and detailed release notes live on the releases page. 0 is a ground-up rework; the audit that drove it ships in-repo as SKILLFORGE_AUDIT.

Frequently asked questions

How many stars and forks are recorded?

tripleyak/SkillForge has 910 stars and 93 forks.

What is the repository rank?

tripleyak/SkillForge is ranked 6,054.

What language and category are recorded?

tripleyak/SkillForge has 910 stars, uses Python and belongs to Applications.

Which repository is closest in rank?

tripleyak/SkillForge is compared with sunbigfly/ppt-agent-skills, ranked 6,053 with 912 stars.

README

SkillForge v6

A skill creator that proves its skills work.

SkillForge routes any skill-related request (use, improve, create, compose), creates new skills through an evidence-driven pipeline, and maintains the health of your whole skill ecosystem. Its 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.

What v6 changed (and why)

v6 is a ground-up rework following a deep external audit (see SKILLFORGE_AUDIT.md on the repo, not shipped with the skill). The headline shifts:

v5 v6
4-agent "unanimous synthesis panel" reads the skill Skills are executed: baseline (RED) runs before writing, with-skill (GREEN) runs after, behavioral delta is the gate
Self-scored "timelessness >= 7" approval Falsifiable checks moved to lint (validate_skill.py); one adversarial reviewer refutes what lint can't catch
5,049-word SKILL.md with `
` "progressive disclosure" 1,158-word SKILL.md; depth lives in references/ loaded on demand
Descriptions = "what this skill does" Descriptions = trigger conditions only (workflow summaries make agents skip the body)
launchd background advisor that analyzed / and queued into a file nothing read Advisor delivered through Claude Code hooks (SessionStart + UserPromptSubmit), caps enforced, opt-in
Personal-directory scanning on by default, hardcoded GitHub handles Personal Context strictly opt-in with recorded consent; no shipped defaults
Hand-rolled YAML parser that failed SkillForge's own SKILL.md One shared typed parser (scripts/frontmatter.py), 100+ unit tests, and a regression test that SkillForge validates itself
Index missed the Claude Code plugin cache entirely Cross-runtime discovery: personal, Codex, Claude Code plugin cache; deduped; auto-refresh

The pipeline

Phase 0  TRIAGE      index + word-boundary matching -> USE | IMPROVE | CREATE | COMPOSE | CLARIFY
Phase 0b RED GATE    fresh subagent attempts the task WITHOUT the skill; no failure = no skill
Phase 1  ANALYSIS    load-bearing lenses (Inversion, Pareto, Root Cause), failure-form matching
Phase 2  SPEC        tiered (minimal default / full for infrastructure), decisions + WHY
Phase 3  GENERATE    fresh-context subagent receives ONLY the spec + baseline failures
Phase 4  GREEN GATE  with-skill runs must clear the recorded baseline failures; trigger tests
Phase 5  REVIEW      lint (validate_skill.py) + ONE adversarial reviewer charged to refute
Phase 6  SHIP        with evals/ - a per-skill regression suite runnable forever after

What no other skill creator has

  • Dedup before create (Phase 0): an index of every skill across runtimes answers "should this exist?" first.
  • Skills ship with their tests: evals/ (trigger queries + behavioral scenarios) + run_skill_evals.py = regression testing for skills.
  • Ecosystem doctor: skillforge_doctor.py finds trigger collisions between skills, duplicates, stale file references, budget violations, and pinned models across your entire roster.
  • Cross-runtime compile: author once, compile_skill.py --target claude|codex|agentskills.
  • Friction mining (opt-in): mine_skill_friction.py --consent finds skill gaps in your own local session history.
  • Proactive advisor (opt-in): evidence-backed skill suggestions delivered via hooks, never auto-invoked.

Install (Claude Code)

git clone https://github.com/tripleyak/SkillForge.git /tmp/skillforge
cp -r /tmp/skillforge ~/.claude/skills/skillforge
cd ~/.claude/skills/skillforge && rm -rf README.md LICENSE CONTEXT.md docs .git .gitignore .skillignore index.html assets/images scripts/tests SKILLFORGE_AUDIT.md
cp /tmp/skillforge/commands/skillforge.md ~/.claude/commands/skillforge.md   # optional /skillforge command

Optional advisor + hooks (interactive, everything opt-in):

python3 ~/.claude/skills/skillforge/scripts/install_skillforge.py

Requirements: Claude Code (or Codex CLI), Python 3.8+ (stdlib only; PyYAML used if present).

Toolbox

Command Purpose
python3 scripts/discover_skills.py Build/refresh the skill index
python3 scripts/triage_skill_request.py "" --json Route a request
python3 scripts/validate_skill.py Full validation + lint
python3 scripts/run_skill_evals.py [--live] Run a skill's regression evals
python3 scripts/skillforge_doctor.py Ecosystem health report
python3 scripts/init_skill.py --path Scaffold (includes evals/)
python3 scripts/compile_skill.py --target Cross-runtime compile
python3 scripts/package_skill.py ./dist Package as .skill
python3 scripts/mine_skill_friction.py --consent Mine local transcripts for skill gaps

CI: copy assets/templates/github-workflow-skill-ci.yml into .github/workflows/ of any skill repo.

Releases

Version history and detailed release notes live on the releases page. v6.0.0 is a ground-up rework; the audit that drove it ships in-repo as SKILLFORGE_AUDIT.md.

License

MIT - see LICENSE

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