workflow-router
Skill2 starsChanged 2 months agoMITView on GitHub
Routes a software-work request to the smallest applicable delivery workflow and records repository conventions once. Use when a user asks what engineering workflow to follow, wants help starting a change, needs a release or blocker path, or says setup workflow.
10 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- NashEQify/forgetheir own version, first seen Oct 25, 2026
- parcadei/Continuous-Claudetheir own version, first seen Oct 17, 2026
- KerberosClaw/kc_ai_skillstheir own version, first seen Oct 15, 2026
- parcadei/Continuous-Claude-v2their own version, first seen Oct 8, 2026
- wakqasahmed/skillsedited, first seen Aug 12, 2026
- Moonweave-Systems/workflow-router-skilltheir own version, first seen Jul 28, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- wakqasahmed/skills★ 290% same
Wrote their own version · 9
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
- KerberosClaw/kc_ai_skills★ 79same name
- Mr-Fang-VLSI/EDAgent★ 8same name
- NashEQify/forge★ 2same name
- DojoGenesis/openclaw-plugin★ 0same name
- Mesteriis/Engineering-Bible-AI★ 0same name
- Moonweave-Systems/workflow-router-skill★ 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 repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ai-agent-pr-metadataSkill
- changesets-releaseSkill
- clarify-workSkill
- decompose-to-issuesSkill
- define-doneSkill
- design-composition-checkSkill
- diagnoseSkill
- docker-db-guardrailsSkill
- docker-volume-guardrailsSkill
- external-campaign-triageSkill
- external-pr-styleSkill
- external-pr-viabilitySkill
- git-guardrails-claude-codeSkill
- git-identity-guardSkill
- hitl-blockerSkill
- open-code-review-setupSkill
- release-gateSkill
- resolving-merge-conflictsSkill
- review-gateSkill
- subagent-pipelineSkill
- tmux-orphaned-socketSkill
- to-prdSkill
- vps-cleanupSkill
- wizardSkill
- write-prompt-guideSkill
- writing-for-agentsSkill
- cavemanSkill
- handoverSkill
- roastSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
1
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 9
Use this as the entry point.
- Very specific: line 55
Use subagent-pipeline only for a claimed non-trivial GitHub issue.
- Very specific: line 59
When invoked as workflow-router setup, inspect before proposing anything:
“Common” is measured: kept by at least 6 in 10 of the 9 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
Workflow Router
Use this as the entry point; downstream skills own their detailed instructions.
Route
Classify the request, choose only the matching sequence below, and state each transition rationale in one line. Do not add steps from another route unless its trigger is present. In an unfamiliar repository, perform repository reconnaissance first (inspect structure, README/CONTRIBUTING, build/test framework, CI, recent git log, and existing patterns per AI_ENGINEERING_WORKFLOW.md).
Idea to staging
Vague but issue-sized request
- Vague or decision-heavy request that clarification resolves into one independently verifiable issue:
clarify-work→define-done. - Transition rationale: clarify creates a safe boundary; define-done makes success testable; a single bounded issue needs no decomposition or durable spec.
Broad or multi-issue request
- Broad request that will not fit one independently verifiable issue even after clarification (several independent slices, unsettled cross-cutting decisions, a durable spec the team will reference across issues):
clarify-work→to-prd→decompose-to-issues. - Transition rationale: clarify creates a safe boundary;
to-prddrafts and publishes the durable spec the multi-issue breakdown depends on; decomposition protects independent delivery.
Concrete single behavior change
- Concrete single behavior change: define done →
test-driven-developmenttest-first change →code-simplificationon the changed code →review-gate→ staging PR. - Transition rationale: the request is already bounded, so clarification and decomposition add no value; tests prove behavior before review.
Claimed non-trivial GitHub issue
- Sequence:
subagent-pipeline→ CI → staging PR. - Transition rationale: a claimed non-trivial GitHub issue has an issue-sized boundary, so the pipeline supplies independent implementation, review, and CI evidence.
Bug or regression
- Sequence: diagnose → regression test → smallest fix →
review-gate. - Transition rationale: reproduce and isolate before changing code; retain the failing case as proof; review checks regressions after the fix.
Release
- Sequence:
release-gate. - Transition rationale: release needs a reviewed artifact, target, health signal, and rollback path rather than a new implementation workflow.
Human-held blocker
- Sequence:
hitl-blocker. - Transition rationale: missing credentials, DNS, billing, permissions, or approval require a visible owner and verification command, not repeated automation.
Standalone tools
clarify-workfor unclear scope;define-donefor acceptance criteria on a single bounded issue;to-prdfor a durable spec a multi-issue plan will reference;decompose-to-issuesfor a multi-issue plan;review-gatebefore merge;handoverat a context boundary.- Use
subagent-pipelineonly for a claimed non-trivial GitHub issue. Its CI gate ends with the appropriate staging PR.
Run-once setup
When invoked as workflow-router setup, inspect before proposing anything:
- Tracker: GitHub remotes, issue/PR templates, and local tracker files.
- Delivery: target branch from remote/default-branch configuration and existing CI workflows.
- Labels: existing issue labels and any documented label vocabulary.
- Project context:
docs/layout, ADRs, and existingAGENTS.md,CLAUDE.md, or equivalent instructions. - Verification: test commands, runtime/container instructions, and test-storage constraints.
Report detected conventions and gaps, then show a file-by-file proposed edit or command. Ask for approval before writing any instruction, config, label, or tracker change. Never overwrite or replace existing instructions; add only an approved, conflict-free change, or report the conflict for a human decision.
Setup output
Return: detected tracker; target branch; labels; docs/instruction files; test/runtime command; proposed changes; and Approval required: yes/no. yes is mandatory whenever a change is proposed.
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.

