skill-authoring
Skill20 starsChanged 20 days agoApache-2.0View on GitHub
Creates, audits, and consolidates Agent Skills that follow the Agent Skills open standard, and hands back a drafted or repaired skill with the review checklist for its branch applied. Use for "create a skill", "draft a SKILL.md", "package this expertise as a skill", "why does this skill never trigger", "audit this SKILL.md", "improve this skill", or merging overlapping skills into fewer deeper modules. Covers frontmatter, descriptions that trigger, progressive disclosure, completion criteria, and bundled scripts.
89 other projects use a version of this.
Adopted by
Most recently taken up by
- neuroborus/agent-runnertheir own version, first seen Nov 8, 2026
- juninmd/skillstheir own version, first seen Nov 8, 2026
- TrueImmortal82/open-code-skillstheir own version, first seen Nov 8, 2026
- patrykmurzyn/skillstheir own version, first seen Nov 8, 2026
- frnkgns/Overgeared-Skillstheir own version, first seen Nov 8, 2026
- notivn/AIEVv2their own version, first seen Nov 8, 2026
Used with
Projects with it also use cloud-api-recipe-authoring, codebuddy-ide-mcp-upgrade and 10 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.
TencentCloudBaseSkillcloud-api-recipe-authoring
Author or revise a cloud-api-operations recipe (config/source/skills/cloud-api-operations/references/recipes/). Encodes why the long tail of control-plane capabilities is deliberately NOT wrapped as MCP/CLI tools, the API-first admission test for whether a capability deserves a recipe, the negative and positive lists, the fixed recipe structure, the writing rules distilled from writing-for-agents, the user-facing copy red lines, and the product regeneration/verification pipeline. Also routes contributors (and their agents) to the contribution flow and the pre-PR self-test protocol in references/contributing.md. Use when adding a recipe, judging whether a scenario belongs in the recipe set, updating the recipes index, re-checking existing recipes against the admission test, or onboarding someone who wants to submit one.
Also in 3 projects that use this
TencentCloudBaseSkillcodebuddy-ide-mcp-upgrade
升级 CodeBuddy IDE(genie 扩展)内置的 CloudBase MCP,以及 MCP 发版时同步 IDE 侧白名单。当用户提到「更新 IDE 里的 MCP」「内置 MCP 版本太老」「IDE 集成的 CloudBase 功能不足」「改工具白名单 toolWhiteList」「把新 bundle 打进 CodeBuddy」「白名单漂移」「MCP 发版要同步什么」时使用。覆盖:解包定位内置 bundle 与内嵌配置、重新构建 mcp bundle、生成新的工具白名单与系统提示词、安全注入 IDE 并备份、用 MCP 协议验证工具清单、人工端到端验收、一键回滚。
Also in 3 projects that use this
DIL8654Skillapi-contract-review
Review ASP.NET Core Web API contracts for HTTP semantics, versioning, backward compatibility, and response consistency. Use when the user asks to review an API, check endpoints, validate REST behavior, or before releasing contract changes.
Also in 5 projects that use this
zaxbysauceSkillpr-review-fix
Codex adapter for addressing pull request review feedback in opencode-swarm. Use when the user asks to fix PR review comments, requested changes, reviewer findings, CI-review notes, or a pasted review summary with low false-positive tolerance.
Also in 3 projects that use this
albertdobmeyerSkillgit-workflows
Advanced git operations beyond add/commit/push. Use when rebasing, bisecting bugs, using worktrees for parallel development, recovering with reflog, managing subtrees/submodules, resolving merge conflicts, cherry-picking across branches, or working with monorepos.
Also in 3 projects that use this
rogue-dev-studioSkillfrontend-engineering
Expert frontend application engineering: accessible UI structure, state and data-fetching discipline, form/validation UX, responsive layouts, performance budgets, and integration with API contracts. Use when building or refining SPA/web screens, design-system consumption, client-side routing, or fixing UI reliability (loading, empty, and error states).
Also in 3 projects that use this
- +6 more from TencentCloudBase
Other versions89 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 89
- nyldn/claude-octopus★ 4.4ksame name
- endurain-project/endurain★ 2.4ksame name
- joaovitoriasilva/endurain★ 2.4ksame name
- theopenco/llmgateway★ 1.7ksame name
- TencentCloudBase/CloudBase-AI-ToolKit★ 1.2ksame name
- TencentCloudBase/CloudBase-MCP★ 1.2ksame name
- TencentCloudBase/CloudBase-AI-Toolkit★ 1.2ksame name
- pockebot/openpocket★ 847same name
- QuixiAI/agi-memory★ 623same name
- QuixiAI/Hexis★ 623same name
79 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 repository73 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- rhdh-base-imagesSkill
- rhdh-konflux-rpaSkill
- rhdh-konflux-tasksSkill
- rhdh-plugin-catalog-index-status-and-update-flowSkill
- rhdh-pr-mrSkill
- rhdh-prow-jobsSkill
- rhdh-prow-release-branchSkill
- rhdh-prow-triggerSkill
- rhdh-yarn-bumpSkill
- rhdh-feature-docsSkill
- rhdh-jira-createSkill
- rhdh-jira-linkSkill
- rhdh-jira-refineSkill
- rhdh-jira-sprint-planSkill
- rhdh-jira-sprint-reportSkill
- rhdh-jira-updateSkill
- rhdh-prepare-refinementSkill
- agent-readinessSkill
- ask-rhdhSkill
- clean-proseSkill
- setup-rhdh-skillsSkill
- rhdh-backportSkill
- rhdh-backstage-upgradeSkill
- rhdh-localSkill
- rhdh-operator-pr-testSkill
- rhdh-overlaySkill
- rhdh-playwrightSkill
- rhdh-plugin-authoringSkill
- rhdh-plugin-bug-fixSkill
- rhdh-plugin-exportSkill
- rhdh-plugin-midstream-propagateSkill
- rhdh-plugin-nfs-migrationSkill
- rhdh-plugin-wiringSkill
- rhdh-pr-createSkill
- rhdh-pr-reviewSkill
- rhdh-test-placementSkill
- backstage-api-changesSkill
- mutation-gateSkill
- openspec-journalSkill
- prose-editingSkill
- rhdh-contextSkill
- rhdh-forgeSkill
- rhdh-jira-apiSkill
- rhdh-jira-authoringSkill
- rhdh-spec-driven-schemaSkill
- openspec-apply-changeSkill
- openspec-archive-changeSkill
- openspec-audit-changeSkill
- openspec-bulk-archive-changeSkill
- openspec-continue-changeSkill
- openspec-exploreSkill
- openspec-ff-changeSkill
- openspec-new-changeSkill
- openspec-onboardSkill
- openspec-sync-specsSkill
- openspec-verify-changeSkill
- rhdh-overlay-cve-exportSkill
- rhdh-platform-lifecycleSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 8 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 80 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Create predictable Agent Skills through progressive disclosure, strong context pointers, checkable completion criteria, and single-sourced …
- Distinctive: line 30
A skill needing a disambiguating sub-command is two skills: If the body opens by asking which mode the user wants, the router should have …
- Very specific: line 32
Keep every-branch steps in SKILL.md.
- Distinctive: line 34
Keep references one level deep and independently usable.
- Very specific: line 35
Keep descriptions below 1024 characters and skill bodies below 500 lines.
- Distinctive: line 41
Put deterministic validation and transformation in scripts.
- Distinctive: line 47
Prompt duplication is forbidden: When the same instructions, protocol, or domain rule would appear in two skills: extract a reference skill …
- Distinctive: line 67
Ask what the skill is *about*, and let the answer decide the name.
- Distinctive: line 85
Before designing a skill, read whatever conventions the repository states — typically AGENTS.md, a glossary, and any decision records.
- Very specific: line 106
Read references/create.md to interview, draft, and review a new skill from scratch — "create a skill", "draft a SKILL.md", "package this …
- Very specific: line 109
Read references/audit.md to review, repair, or diagnose an existing skill — "why does this never trigger", "check this SKILL.md", "improve …
- Distinctive: line 112
Read references/consolidation-guide.md to merge overlapping skills into fewer, or to test whether a merge already went too far.
“Common” is measured: kept by at least 6 in 10 of the 80 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 Authoring
Create predictable Agent Skills through progressive disclosure, strong context pointers, checkable completion criteria, and single-sourced behavior.
Principles
- One skill per trigger phrase. A skill claims one thing a user would say. Two skills that would answer the same utterance are one skill; one skill that answers several unrelated utterances is several skills.
- Split by verb, never by noun. Verbs route; nouns collide.
createandrefineare two skills. Feature, Epic, and Story are one skill that infers the type, because the user often does not know which they want. - Weight the split by what a misroute costs. Merge where a misroute produces a wrong write; split where it produces an obvious wrong answer. A read-only misroute is visible immediately; a wrong mutation is not.
- A skill needing a disambiguating sub-command is two skills. If the body opens by asking which mode the user wants, the router should have decided.
- Keep every-branch steps in
SKILL.md; disclose branch-only reference behind a pointer that says when to read it. - Keep references one level deep and independently usable.
- Keep descriptions below 1024 characters and skill bodies below 500 lines.
The body limit governs
SKILL.mdonly — measure the whole directory too, and settle it with the question the line count only hints at: which of these vocabularies does a caller have to learn? One trigger phrase commits the caller to one. Two skills in this pack reached 4,029 and 7,784 total lines while theirSKILL.mdfiles stayed comfortably compliant. - Put deterministic validation and transformation in scripts.
Duplication
Judge it by layer, not by volume.
Prompt duplication is forbidden. When the same instructions, protocol, or domain rule would appear in two skills: extract a reference skill when nothing owns it, enforce the existing interface when a module already does, or document it once when it is a rule rather than a capability. Two callers is the threshold for extracting; one caller means it belongs inside its owner.
Code duplication is expected. Bundled scripts are self-contained so a skill can be installed alone. Copy the helper rather than reaching across a seam.
A rule the agent needs at runtime, in whatever repository it is working in, has
to live in a skill. A repository's own AGENTS.md, decision records, and
glossary govern work inside that checkout and do not travel with an installed
skill — so a skill that cites them is broken for everyone who installs it.
Naming
A name describes its subject. Name by domain then verb, matching the trigger
phrase the skill claims: <domain>-create, <domain>-review. Sibling skills use
the same word for the same thing.
Ask what the skill is about, and let the answer decide the name. A skill about one product or system takes that product's name; a skill that is genuinely generic takes a generic name, even when it is published alongside product-specific ones. A prefix that overstates scope is worse than none — it promises knowledge the skill does not have.
Names are read by people, in a flat list where the folder is gone. Routing is a separate problem, solved by the description: keep the literal proper nouns — project keys, repository names, file names, tool names, an example identifier — because a literal token is the strongest anchor available.
That anchoring works on presence, so never put a literal in a description in order to disclaim it. "A key such as ABC-123 is not a sprint" makes the skill a candidate for exactly the request it is refusing. State the exclusion without the token: "works on a team and a board, never on a single issue key".
Working inside a host repository
Before designing a skill, read whatever conventions the repository states —
typically AGENTS.md, a glossary, and any decision records. Those bind the skill
you are about to write. They do not bind the skill once installed, so nothing you
write into the skill may depend on being able to read them.
Where the repository publishes a collection, expect it to define: which skills are human-invoked, whether a name prefix applies, how skills compose, where the membership manifest lives, and what the tests protect. Follow its answers.
Interview dependency
Creating or interviewing for a skill requires an interview skill that stress-tests
scope before drafting — /grilling in this collection. If the host cannot invoke
it by name, stop before drafting anything and say that creation is gated on it.
Audit and consolidation do not require it unless they open an interview.
Conditional references
Load exactly one branch. Its own pointers name any specification, description, architecture, script, or quality reference needed later.
- Read references/create.md to interview, draft, and review a new skill from scratch — "create a skill", "draft a SKILL.md", "package this expertise".
- Read references/audit.md to review, repair, or diagnose an existing skill — "why does this never trigger", "check this SKILL.md", "improve this skill".
- Read references/consolidation-guide.md to merge overlapping skills into fewer, or to test whether a merge already went too far. Finish through the Phase 5 review in references/create.md.
Completion
Work is complete when the selected branch's review checklist passes, every
referenced resource resolves, no behavior remains duplicated under an old
skill name, and every changed .py file passes the host linter.
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.

