prd-drift
Skill1 starsChanged 5 months agoApache-2.0View on GitHub
Use this skill when implementation, docs, or release planning may be diverging from the canonical Jini product direction. Return a concise table with gap, risk, fix, and owner surface.
In this repository9 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- commit-gateSkill
- debuggerSkill
- llm-behaviorSkill
- researchSkill
- reviewerSkill
- security-scanSkill
- terminal-shellSkill
- test-evidenceSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 3
Use this skill when implementation, docs, or release planning may be diverging from the canonical Jini product direction.
- Distinctive: line 18
Prefer removing drift over adding another planning artifact.
≈ “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
PRD Drift
Use this skill when implementation, docs, or release planning may be diverging from the canonical Jini product direction.
Canonical Inputs
specs/number-one-platform-prd.mdspecs/prd-implementation-trace.mdspecs/product-settling-decisions.mdspecs/product-rewrite-contract.mdspecs/golden-competitive-benchmark.yaml
Process
- Compare the changed surface against the canonical inputs.
- Identify stale, contradictory, or undesired requirements.
- Decide whether the fix belongs in code, docs, PRD, gates, or scorecards.
- Prefer removing drift over adding another planning artifact.
Output
Return a concise table with gap, risk, fix, and owner surface.
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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- It worked
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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.