openspec-workflow
Skill3 starsChanged 20 days agoMITView on GitHub
OpenSpec pipeline: explore → propose → apply → QA → review → archive, with a consistency checkpoint.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- AVANT-ICONIC/gpt-webui-skillstheir own version, first seen Oct 13, 2026
- AVANT-ICONIC/skillstheir own version, first seen Oct 13, 2026
- nb-99/skillektiontheir own version, first seen Aug 19, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- nb-99/skillektion★ 1same name
- AVANT-ICONIC/gpt-webui-skills★ 0same name
- AVANT-ICONIC/skills★ 0same name
- thistleknot/skills★ 0same name
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 repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- architectural-decision-recordsSkill
- conventional-commitsSkill
- gherkin-specsSkill
- git-workflowSkill
- grillingSkill
- implementation-standardsSkill
- openspec-apply-changeSkill
- openspec-archive-changeSkill
- openspec-exploreSkill
- openspec-proposeSkill
- openspec-sync-specsSkill
- session-endSkill
- session-startupSkill
- test-driven-developmentSkill
- update-harnessSkill
- using-git-worktreesSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
4
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 26
The user reviews each artifact: before moving to the next one.
- Distinctive: line 56
Before QA: does the code implement the approved design?
- Very specific: line 77
Archive: after explicit user approval, run openspec archive <change> and sync the specs.
- Distinctive: line 81
If the PR is merged without archive, do not rewrite main: open a new archive branch/PR, archive and merge it.
- Very specific: line 88
If QA reports BLOQUEADO (3+ high findings on the second iteration), return to design with the user.
- Distinctive: line 89
No finding is closed silently: it is fixed or documented with the user's approval.
“Common” is measured: kept by at least 6 in 10 of the 4 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
OpenSpec pipeline
Phases
explore → propose (proposal, specs, design, adr, tasks) → apply → QA → review → archiveArtifact order
proposal → specs → design → adr → tasks
Each artifact is written only when its dependencies are complete and the user approves it.
Rules
- OpenSpec commands: the preference in
AGENTS.md(§ Preferences) isuser,agentorask. Withask, the question is asked at the start of every session; the answer applies to that session only.archiveandsyncalways require explicit approval. - The user reviews each artifact before moving to the next one.
- Command syntax depends on the host: the wrappers are generated by
openspec init/update --tools <host>. - Never proceed without explicit approval.
- Phase gates (orchestrated mode): artifact approval, implementation start, QA start, pull request, archive/merge. The user decides when implementation begins; it may be postponed to another session.
Phases in detail
1. Explore
Think, ask, visualize. Do not implement. If the idea crystallizes, propose a change.
2. Propose
Generate proposal, specs, design, adr and tasks. Add qa-scenarios.md when the change has an
end-to-end flow worth testing.
3. Apply
TDD per task: red → green → refactor → commit. Run the project's quality gate before closing.
4. QA
Scenario inventory → gap analysis → execution. Approval requires -FINAL with zero open high-severity
findings.
5. Consistency checkpoint
Before QA: does the code implement the approved design? Did the scope change? Are the new ADRs coherent? If there is drift, fix the design before spending QA and review iterations.
- Did the refactor introduce weak types (bare strings, booleans or magic numbers carrying semantics) or incohesive helpers only to satisfy a size, complexity or CRAP threshold?
- Is the behavior or observability change (logs, metrics, traces) covered by a test, and is the
refactor declared in the change report and
design.md?
6. Review
Code review against the declared architecture and security, plus quantitative gates. No critical
findings and highs resolved → -FINAL.
7. Close the cycle
- Consistency check (design → code): does the implementation match the approved design? Did the scope change? Are the new ADRs coherent?
- Documentation: invoke
doc-writer. It updates technical and functional documentation and returns a summary; if the code diverges from the specs, it flags the divergence instead of documenting it. - Analyst validates that the documentation matches the approved change and the specs.
- Pull request: open it with the documentation included. The user reviews the PR once.
- Archive: after explicit user approval, run
openspec archive <change>and sync the specs; commit the archive in the same PR. - Merge (the user) and cleanup (branch + worktree).
If the PR is merged without archive, do not rewrite main: open a new archive branch/PR, archive and
merge it. If a review after archive changes specs, design or tasks, unarchive, fix, validate and archive
again.
Limits
- Maximum 5 iterations between QA and review.
- If QA reports
BLOQUEADO(3+ high findings on the second iteration), return to design with the user. - No finding is closed silently: it is fixed or documented with the user's approval.
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.

