gen-smoke
Skill4 starsChanged 6 months agoApache-2.0View on GitHub
Smoke test for the sagaflow generic interpreter. Writes a greeting to report.md and ends turn. Use only for testing the interpreter round-trip.
In this repository57 other files it gives its agents.
- autopilotSkill
- build-python-librarySkill
- build-temporalSkill
- canon-design-reviewSkill
- canon-pr-reviewSkill
- canon-reviewSkill
- ccr-modelsSkill
- ccr-runSkill
- chartSkill
- ci-health-reportSkill
- code-quality-trendsSkill
- competitive-matrixSkill
- councilSkill
- create-skillSkill
- deep-debug-ensemble-v1Skill
- deep-debugSkill
- deep-designSkill
- deep-ideaSkill
- deep-planSkill
- deep-qa-ensemble-v1Skill
- deep-qaSkill
- deep-researchSkill
- dependency-auditSkill
- deploy-status-reportSkill
- develop-board-gameSkill
- diagramSkill
- docxSkill
- dora-lite-reportSkill
- find-skillSkill
- flaky-test-diagnoserSkill
- gap-finderSkill
- gen-crash-testSkill
- goal-managerSkill
- init-github-repoSkill
- loop-until-doneSkill
- magic-fetchSkill
- ml-pipeline-reportSkill
- monitorSkill
- napSkill
- pipeline-health-reportSkill
- platform-friction-detectorSkill
- pptxSkill
- prod-readinessSkill
- prompt-clash-ensembleSkill
- prompt-clashSkill
- retrospectSkill
- slack-digestSkill
- slidesSkill
- specSkill
- sprint-retroSkill
- tableSkill
- team-temporalSkill
- timelineSkill
- update-stop-gateSkill
- user-activity-reportSkill
- vc-gauntletSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
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
- Very specific: line 27
Run sagaflow doctor. If Temporal is unreachable, stop immediately and report:
- Distinctive: line 31
Do NOT attempt an in-session workaround — this skill tests sagaflow, not Claude Code tools.
- Very specific: line 35
Use the write_artifact tool with path report.md and content Hello from the generic interpreter, $name!
≈ “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
gen-smoke
This is a smoke test for the sagaflow generic interpreter's write_artifact tool.
It requires sagaflow — there is no in-session fallback because the test target
is the sagaflow interpreter itself.
Pre-flight check
Run sagaflow doctor. If Temporal is unreachable, stop immediately and report:
gen-smoke requires a running sagaflow worker (Temporal backend). Run
temporal server start-devandsagaflow worker run, then retry.
Do NOT attempt an in-session workaround — this skill tests sagaflow, not Claude Code tools.
Steps (sagaflow only)
- Use the
write_artifacttool with pathreport.mdand contentHello from the generic interpreter, $name!. - End your turn. Do NOT call any other tools. Do NOT spawn subagents.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

