skill-builder
Skill453 starsChanged 4 months agoApache-2.0View on GitHub
Create, repair, audit or consolidate agent skills (SKILL.md packages). Use when: writing or fixing a skill, its description or structure. Not for one-off lessons; use Memory.
74 other projects use a version of this.
Adopted by
Most recently taken up by
- Kikobazz123/lordgen-skill-buildertheir own version, first seen Nov 8, 2026
- AsiaOstrich/EngramGraphtheir own version, first seen Nov 8, 2026
- shetengteng/skillix-hubtheir own version, first seen Nov 8, 2026
- davidgfolch/AI-job-searchtheir own version, first seen Nov 8, 2026
- RKelln/hermes_skillstheir own version, first seen Nov 7, 2026
- beCyborg/jadlis-skill-buildertheir own version, first seen Nov 6, 2026
Used with
Projects with it also use contract-test, literature-research and 9 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.
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Automatically analyze git changes, generate Conventional Commits compliant commit messages, commit changes, and push to remote in a single automated workflow. Use when the user invokes /commit-and-push or explicitly requests to automatically commit and push changes following Conventional Commits format (feat:, fix:, docs:, etc.). This skill provides a fully automated git workflow without manual intervention.
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MicrosoftSkillskill-reviewer
Review skill PRs with structured severity-rated feedback covering token budgets, routing conflicts, and repo conventions. WHEN: \"review skill\", \"review skill PR\", \"review skill changes\", \"check skill quality\", \"skill PR feedback\".
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Eine Automatisierung pro Woche finden, scopen, shippen. Output landet als proposed-Eintrag in cadence.md mit konkreten Implementations-Schritten.
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Other versions74 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 74
- yusufkaraaslan/Skill_Seekers★ 15ksame name
- block/berd★ 1ksame name
- metaskills/skill-builder★ 112same name
- AsiaOstrich/universal-dev-standards★ 84same name
- Amazon-Quick/Amazon-Quick-official-catalog★ 50same name
- nateherkai/a-bunch-of-skills★ 41same name
- clasen/Skills★ 40same name
- sanqi-cd/Sanqi-Skills★ 28same name
- arctan303/creator.skill★ 19same name
- aiagentwithdhruv/skills★ 16same name
64 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 repository32 other files it gives its agents.
- AGENTS.mdAGENTS.md
- cli/AGENTS.mdAGENTS.md
- agent-nativeSkill
- agy-nativeSkill
- architectureSkill
- claude-execSkill
- codex-execSkill
- councilSkill
- craft-goalSkill
- docSkill
- domainSkill
- ergonomicsSkill
- idea-genieSkill
- implementSkill
- interviewSkill
- memorySkill
- navigateSkill
- orchestrateSkill
- planSkill
- postmortemSkill
- premortemSkill
- refactorSkill
- researchSkill
- reverse-engineerSkill
- reviewSkill
- rpiSkill
- securitySkill
- skill-evalSkill
- testSkill
- triageSkill
- using-gcSkill
- validateSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 6 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 65 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 29
Create, repair, audit or export one canonical skill package, or turn supported expertise into a small authoring proposal.
- Distinctive: line 37
Find the existing owner: Search skills, references, checklists and instruction files for one that already handles the behavior.
- Very specific: line 81
Run only the selected operation.
- Distinctive: line 96
Treat external skills as structural signals only.
- Distinctive: line 113
Before editing a skill after a miss or a review finding, read changing existing text.
- Very specific: line 163
Run bash "<skill-dir>/scripts/converter/convert.sh" <source-skill-dir> <target> [output-dir] to export one package, or --all, to codex, …
- Distinctive: line 172
When the caller wants a reusable rule, apply the decision rules above and begin with cited occurrences or a named authoritative source.
- Distinctive: line 176
Use Research's pattern mode when the claim needs exemplars and a holdout, and Memory's source and destination rules for mined material.
“Common” is measured: kept by at least 6 in 10 of the 65 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 Builder
Create, repair, audit or export one canonical skill package, or turn supported expertise into a small authoring proposal.
Decide whether to create anything
Apply these before any creation step, including when the request already names the new skill or file it wants:
- Find the existing owner. Search skills, references, checklists and instruction files for one that already handles the behavior. Extend that owner rather than adding a root.
- Count independent occurrences. A new skill, gate, library or workflow needs three independently evidenced real occurrences and a successful reapplication to a source case without missing context. Fewer occurrences support only a narrow note in an existing owner; one incident is an observation, not a skill. An authoritative source supports only a faithful statement of that source.
- Name the consumer of every new artifact. A proposed process artifact (a report, ledger, counter, dashboard or tracker) needs a concrete consumer, the decision it informs, the observed defect it answers and a retirement condition. If any is missing, leave it out; code written only to consume it is no consumer.
- No action is a valid result, and so is a short addition to an existing owner. Say what the evidence supports before drafting, build only what the caller then authorizes, and return a proposal inline unless a durable one was requested.
- A built package proves no benefit. Route behavioral benefit to Skill Eval and acceptance judgment to Validate.
Choose the requested operation
<skill-dir> is the directory that contains this SKILL.md. Claude Code shows it
as "Base directory for this skill"; Codex lists this skill's SKILL.md path; in
an AgentOps source checkout it is skills/skill-builder. Replace <skill-dir>
with that absolute path before running a command. The working directory stays
the user's repository. If the host did not show where this skill is installed,
use the directory of the SKILL.md you read. If you cannot determine it, do not
guess a path or run a same-named script from the current repository; say the
bundled script is unavailable and apply the rules and doctrine here to the
package by hand and use its repository's own checks.
| Need | Entry point |
| Create a source package | bash "<skill-dir>/scripts/build.sh" from-scratch <slug>, from-template <slug> --like <existing-slug> or absorb-external <slug> --from <path> |
| Check package structure | bash "<skill-dir>/scripts/heal.sh" --check [--strict] skills/<slug> |
| Repair the skill mesh | bash "<skill-dir>/scripts/heal.sh" --fix skills/<slug> |
| Inspect audit evidence | bash "<skill-dir>/scripts/audit.sh" [--profile canonical|portable|external-observation] [--json <path>] skills/<slug> |
| Merge overlapping skills | Consolidate |
| Export to another platform | Conversion |
| Make repeated expertise reusable | Distill expertise |
Run only the selected operation. build.sh and heal.sh --fix work on
skills/ of an AgentOps source checkout and refuse with exit 2 elsewhere, such
as from a plugin install, instead of writing into its cache; heal.sh --fix
checks the source first, so a target with findings exits 1 before that refusal.
heal.sh in either mode checks only its own root's skills/ and resolves a
relative target there, not in the current directory. For a skill in another
repository or a user's skills directory, apply the rules and doctrine here to
that directory and use its own checks; audit.sh resolves targets from the
current directory and has portable and external-observation profiles, so it
is the bundled check there.
Roots, inputs, report destinations, exit codes and recovery from partial
creation are in build and check mechanics.
Create and maintain
Treat external skills as structural signals only. Clean-room output must not
copy their names, prose, prompts, scripts or examples. Every creation mode
writes the same blank scaffold: from-template only checks the named skill and
records it as source_hint, and absorb-external only verifies its input.
Neither imports another skill's content or metadata.
build.sh creates one incomplete source package containing only
SKILL.md with metadata.authoring_state: scaffold; helpers, references and
assets are conditional on the actual behavior. Replace the placeholders and
state applicability, inputs, authority, result, completion and failure in the
layout that makes them clear. An ending such as "hand off" or "then stop" can
end the caller's turn when the skill runs inline; read
endings
before writing one. Remove the scaffold state only after authoring the
behavior; strict source checks reject it. Removing it is an author assertion,
not proof of semantic completeness.
Before editing a skill after a miss or a review finding, read changing existing text; it decides when text stays unchanged, when a list stays explicit, and what to check before cutting a line.
Edit skills/<slug>/ as the source owner. Check the completed source with
bash "<skill-dir>/scripts/heal.sh" --check --strict skills/<slug>. In an
AgentOps source checkout only, run bash scripts/regen-all.sh from the
repository root to regenerate every owned projection, including
plugin/skills/; bash "<skill-dir>/scripts/heal.sh" --fix skills/<slug>
regenerates only the skill mesh and leaves plugin copies unchanged. Inspect the
generated diff; hand-edit no projection. A clean check says nothing about
behavior: when an edit changes
when the skill routes, what it asks, when it stops, what it commits or
publishes or how it degrades, or cuts a line that recorded provenance protects,
report that behavior as unmeasured unless a Skill Eval
result measured that behavior, and name what was missing (a runner, a host or
the caller's authorization). Typo, path and formatting edits need no such note.
Creation is staged, not atomic. If a later stage fails, keep the created source and any report and follow recovery; never call a partial result a completed package or delete it to rerun creation. A missing script, reference or runtime blocks only the operation that needs it; name it and continue the rest.
The default audit reports conformance, effects, behavior and authoring
suspicions separately, with no total or verdict; effects and behavior stay
NOT_PROVEN because it runs no skill. Checks, exit codes and the opt-in legacy
schema are in audit checks; what Codex reads is in
Codex parity.
Consolidate
Merge only when two skills own the same behavior; a shared passage or two is a
cross-link, not a merge. Apply the decision rules above, then pick one owner:
keep the skill with the stronger contract (clearer applicability, authority,
result and failure path) and move into it only the rules the other has and it
lacks. Before retiring the other name, search the skills, references,
instruction files, goal prompts, workflows and docs for callers that invoke it
by name, point each at the owner, and keep the old name until every caller does.
In the AgentOps repository, also record the retired name and its new owner in
docs/MIGRATION.md and add the slug to REMOVED_SKILLS in
scripts/check-cathedral-cut-conformance.py, which fails if the skill comes
back; never delete a skill there without that tombstone. A merge can move
routing, so report as unmeasured whether the requests the retired skill caught
now reach the owner unless a routing or Skill Eval
result measured it.
Conversion
Run bash "<skill-dir>/scripts/converter/convert.sh" <source-skill-dir> <target>
[output-dir] to export one package, or --all, to codex, cursor or test
outside the shipped tree. Before an export, read
running the converter
for path resolution, the default output and its refusals. Preserve the source;
fix the source or adapter, never the exported output.
Distill expertise
When the caller wants a reusable rule, apply the decision rules above and begin with cited occurrences or a named authoritative source. State the trigger, desired behavior, inputs, outputs, limits and a negative or holdout case the rule decides correctly, with short source excerpts and resolvable citations. Use Research's pattern mode when the claim needs exemplars and a holdout, and Memory's source and destination rules for mined material. A proposal-only request ends with the proposal. For an actual package edit, use the source template for required fields and the admission test in changing existing text to decide which prose earns a place.
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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.

