unmatched-workflow
Skill1 starsChanged 10 days agoMITView on GitHub
Design a rigorous, auditable playbook when no narrower skill fits: a large migration, multi-part change, or work a human will review after stepping away. Apply when no playbook matches, the work is a migration, or they will be gone while the work runs. Use inception when the deliverable is the plan. Use deep-deliberation to choose among options without implementing. Use kit-workflows for a known bug-fix, feature, or refactor. Use blinded-eval to prove a skill change.
In this repository107 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/base.mdcCursor rule
- .cursor/rules/changelog.mdcCursor rule
- .cursor/rules/comments.mdcCursor rule
- .cursor/rules/release.mdcCursor rule
- .cursor/rules/seo-ai-search.mdcCursor rule
- .cursor/rules/testing.mdcCursor rule
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- cloakbrowser-fallbackSkill
- deep-deliberationSkill
- design-rationaleSkill
- dissectSkill
- documentation-writerSkill
- everything-seoSkill
- executeSkill
- generating-app-verifySkill
- inceptionSkill
- kit-workflowsSkill
- marketing-psychologySkill
- media-genSkill
- nlm-skillSkill
- opinionSkill
- proving-change-safetySkill
- refreshing-app-verifySkill
- release-deploySkill
- seo-auditSkill
- startup-marketing-brainSkill
- subsystem-walkthroughSkill
- trlSkill
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- cloakbrowser-fallbackSkill
- deep-deliberationSkill
- design-rationaleSkill
- dissectSkill
- documentation-writerSkill
- everything-seoSkill
- executeSkill
- generating-app-verifySkill
- inceptionSkill
- kit-workflowsSkill
- marketing-psychologySkill
- media-genSkill
- nlm-skillSkill
- opinionSkill
- proving-change-safetySkill
- refreshing-app-verifySkill
- release-deploySkill
- seo-auditSkill
- startup-marketing-brainSkill
- subsystem-walkthroughSkill
- trlSkill
- unmatched-workflowSkill
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 31
When no playbook fits, the deliverable before any code is the workflow: phases that scale rigor to the task.
- Distinctive: line 38
Run the loop: each unit is an experiment — hypothesis, smallest change, measure on the real artifact, keep or revert.
- Distinctive: line 39
Verify the whole against the Phase 1 predicate on the real product.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Unmatched workflow
Leading words: falsifiable done-predicate, hypothesis loop, VERIFIED NOT VERIFIED INCONCLUSIVE.
When no playbook fits, the deliverable before any code is the workflow: phases that scale rigor to the task. Inconclusive is not a pass.
Copy these steps into the todo list verbatim. Skip with skip: <reason>.
- Frame: falsifiable done-predicate, scope, rigor level (one-way doors get more). Present before a long run.
- Design the workflow: atomic units, riskiest-unknown first, verification harness before features. The first unit that writes code is the harness, not a product edit. Deleting the old API is out of scope unless the Phase 1 predicate names it. Write the phase list down.
- Run the loop: each unit is an experiment — hypothesis, smallest change, measure on the real artifact, keep or revert.
- Verify the whole against the Phase 1 predicate on the real product.
Verdicts
Each unit: VERIFIED, NOT VERIFIED, or INCONCLUSIVE. Do not hide a negative.
Pair delegated work with a parent read of the artifacts. If a worker games the gate, harden the contract. If the gate is wrong, fix the gate in its own change.
Reply contract
The playbook you designed, the rigor level and why, what is verified against the predicate, and what is still open.
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.

