skill-forge
Skill10 starsChanged 2 months agoMITView on GitHub
Forge a reusable, portable skill from a proven workflow or capability brief. Use when the work needs repeatable instructions, triggers, guardrails, and evidence tests but does not need a persistent autonomous identity.
49 other projects use a version of this.
Adopted by
Most recently taken up by
- brebuilds/claude-skillstheir own version, first seen Nov 8, 2026
- gxh98/haoge-skill-forgetheir own version, first seen Nov 8, 2026
- yashaswi-khurana/Skillstheir own version, first seen Nov 8, 2026
- AthenDrakomin-hub/agent-skillstheir own version, first seen Nov 1, 2026
- ligj1706/ProSkillstheir own version, first seen Nov 1, 2026
- Design-of-Man/claude-skillstheir own version, first seen Oct 30, 2026
Used with
Projects with it also use sigma, skill-review and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
sanyuan0704Skillsigma
Personalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images). Use when user wants to learn something, study a topic, understand a concept, requests tutoring, says 'teach me', 'I want to learn', 'explain X to me step by step', 'help me understand', or invokes /sigma. Triggers on: learn, study, teach, tutor, understand, master, explain step by step.
Also in 3 projects that use this
localSummerSkillskill-review
回顾当前对话,整理 skill 使用情况、代码质量反馈和迭代建议,生成待确认的更新清单
Also in 3 projects that use this
NVIDIASkilldeep-research
Queue deep, multi-step research and analysis tasks to the DeepAgents worker. Supports execution depth presets, request-specific rubrics, SubAgent delegation, and RubricMiddleware cross-validation.
Also in 3 projects that use this
GoogleSkillcode-review
Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.
Also in 3 projects that use this
Other versions49 projects use a version of this.
Word for word · 1
- frankxai/Starlight-Intelligence-System★ 10100% same
Edited · 0
None found.
Wrote their own version · 48
- sanyuan0704/code-review-expert★ 3.9ksame name
- sanyuan0704/sanyuan-skills★ 3.9ksame name
- AgriciDaniel/skill-forge★ 166same name
- svy04/ballast★ 73same name
- danilokhury/Synabun★ 70same name
- motiful/skill-forge★ 45same name
- WilliamSaysX/skill-forge★ 43same name
- bjcoombs/ai-native-toolkit★ 32same name
- GodModeAI2025/skill-forge★ 18same name
- maroffo/claude-forge★ 17same name
38 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- site/AGENTS.mdAGENTS.md
- .claude/hooks/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- site/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/editorial.mdcCursor rule
- .cursor/rules/starlight-agents.mdcCursor rule
- .cursor/rules/starlight-core.mdcCursor rule
- .cursor/rules/starlight-memory.mdcCursor rule
- .cursor/rules/starlight-voice.mdcCursor rule
- frank-brand-editorSkill
- agent-hygieneSkill
- estate-guardSkill
- SKILL.mdSkill
- crypto-intelligenceSkill
- agent-forgeSkill
- system-forgeSkill
- taste-engineSkill
- integration/ecosystem-syncSkill
- integration/repo-bridgeSkill
- integration/transmission-protocolSkill
- integration/universal-adapterSkill
- intelligence/decision-frameworkSkill
- intelligence/hermes-searchSkill
- intelligence/pattern-recognitionSkill
- intelligence/strategic-reasoningSkill
- intelligence/systems-thinkingSkill
- heartSkill
- storageSkill
- memory/capture-disciplineSkill
- memory/context-preservationSkill
- memory/insight-distillationSkill
- memory/knowledge-synthesisSkill
- memory/memory-consolidationSkill
- sis-memory-orchestratorSkill
- memory/vault-managementSkill
- agent-creatorSkill
- orchestration/context-engineeringSkill
- orchestration/gencreator-stackSkill
- orchestration/hermes-swarmSkill
- orchestration/multi-agent-coordinationSkill
- orchestration/parallel-executionSkill
- orchestration/workflow-designSkill
- workflow-skill-creatorSkill
- safety/mutation-approvalSkill
- safety/permission-gateSkill
- safety/private-public-splitSkill
- safety/secret-detectorSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 7 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 41 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 19
Do not use it when the work requires persistent decision rights, a distinct durable memory scope, or an ongoing trigger owned by an …
- Distinctive: line 25
Ask only for missing information that materially changes the capability.
- Distinctive: line 31
Write concrete positive triggers and at least one negative trigger.
- Distinctive: line 32
Keep one skill responsible for one coherent outcome.
- Distinctive: line 33
Avoid broad adjectives as requirements.
- Very specific: line 37
Keep SKILL.md frontmatter limited to name and description.
- Very specific: line 39
Foundry runtime available: use this mode only when tools/foundry/cli.mjs and foundry/contracts/ exist in the current workspace.
- Distinctive: line 51
Run this step only in Foundry runtime mode.
- Distinctive: line 52
Run static and artifact checks first.
- Distinctive: line 54
Keep manual and judge tests pending until independent evidence exists.
“Common” is measured: kept by at least 6 in 10 of the 41 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill Forge
Outcome
Design one narrow capability as a portable Agent Skills package with explicit activation boundaries, then compile and prove it when a Foundry runtime is available.
Use this skill when
- A successful workflow should become reusable.
- A user asks to create, improve, or package a skill.
- A repeated task needs stable instructions, tools, guardrails, or evaluation.
- The capability should work in ChatGPT, Codex, or a skills-based plugin.
Do not use it when the work requires persistent decision rights, a distinct durable memory scope, or an ongoing trigger owned by an autonomous actor. Use $agent-forge only after proving one of those boundaries.
Procedure
- Define the decision contract.
- Capture the objective, audience, deliverables, stakes, reversibility, permissions, constraints, and completion tests.
- Ask only for missing information that materially changes the capability.
- Discover before creating.
- Inspect the capability graph and existing skills.
- Reuse or depend on an existing capability when it already owns the behavior.
- Record required, preferred, and forbidden capabilities explicitly.
- Bound activation.
- Write concrete positive triggers and at least one negative trigger.
- Keep one skill responsible for one coherent outcome.
- Avoid broad adjectives as requirements; translate them into observable gates.
- Author the Skill Pack.
- Give every procedure step a proof obligation.
- Declare inputs, outputs, dependencies, tool policy, memory policy, deployment targets, and optional taste profile.
- Keep
SKILL.mdfrontmatter limited tonameanddescription.
- Select the execution mode.
Foundry runtime available: use this mode only when
tools/foundry/cli.mjsandfoundry/contracts/exist in the current workspace. Validate the Task Envelope and Skill Pack, then run:node tools/foundry/cli.mjs forge \ --envelope <task-envelope.json> \ --pack <skill-pack.json> \ --out <package-directory>- Portable skills-only install: read
references/portable-contracts.md, then author the Task Envelope, Skill Pack, and proposedSKILL.mddirectly with those field names. Mark compilation and proofpending-runtime; do not invent paths, commands, or receipts. Give the operator the command above as an optional handoff for a later SIS workspace run.
- Prove.
- Run this step only in Foundry runtime mode.
- Run static and artifact checks first.
- Execute command tests only when the Task Envelope permits the executable.
- Keep manual and judge tests pending until independent evidence exists.
Run:
node tools/foundry/cli.mjs prove <package-directory>
- Promote only from receipts.
validated: every required lane passed.experimental: required evidence is still pending.revise: a required test failed.rejected: a critical security test failed.
Quality gates
- The skill is narrower than an agent and more reusable than a one-off prompt.
- Trigger examples distinguish when to use and when not to use it.
- The procedure is executable without hidden context.
- Claims about research, tests, writes, or deployment have receipts.
- The producer is not the sole judge for a required taste lane.
Return
Return the Task Envelope, Skill Pack, proposed skill, execution mode, and unresolved proof. Include a compiled package path and Evidence Receipt only when those artifacts were actually produced.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

