optim-agent/dsh-plans/diagnose-before-plan
Claude Code and agent skill by optim-agent/dsh-plans
- community
Checking that the SKILL.md file is still in the repository.
Diagnose failures before creating a dsh-plans plan. MUST USE for bugs, CI failures, test failures, regressions, incidents, broken behavior, root cause, RCA, or debug-why requests before deciding whether to plan; preserve language, reviewer, criticizer, and executor settings in `dsh-plans/.state/config.json`; exclude ordinary feature planning, direct implementation-only, factual/explanation, trivial command-only, or explicit no-plan requests.
Install
npx vskill@latest install optim-agent/dsh-plans/diagnose-before-planSKILL.md
Diagnose Before Plan
Use this skill for problem or failure inputs that need diagnosis before planning.
DSH Setup
Read ../references/dsh-planning-workflow.md and ../references/state-and-config.md — both normative — and follow their setup, state, language, and reviewer/criticizer/executor rules. State lives in dsh-plans/.state/ via ../scripts/dsh_plans_state.py init --workdir <target-workdir>; spawn reviewer and criticizer roles with the run_plan_subagent tool.
Diagnostic Workflow
- Inspect available evidence first: repository files, logs, tests, command output, stack traces, recent diffs, CI output, environment details, and user-provided symptoms.
- Produce an in-message RCA summary before asking whether to plan. Use at most 5 Whys. Stop with
unknownwhen evidence is insufficient; do not invent a cause. - Ask one choice prompt in the configured language that includes the RCA summary:
Create the scoped fix plan- recommended when evidence supports a planning path.Stop after RCA- keep the diagnosis only.Other.Auto-complete.- On opt-out, stop after the summary; do not write
PROBLEM_ANALYSIS.md. - On opt-in (or
Auto-completechoosing the recommendation), select the smallest fitting planning skill and follow that skill exactly: first-turn planning question, final scope confirmation,PLAN_v1.md, refinement, and the DSH goal execution handoff.
Level Selection
create-a-small-plan: clear root cause, obvious fix shape, few local files, limited risk.create-a-plan: multi-file fix, external API or dependency behavior, compatibility concerns, or research needed.create-a-big-plan: cross-system failure, unclear root cause, redesign pressure, or high safety/recoverability risk.
Do not ask the user to choose the level unless the evidence supports two materially different planning depths and the tradeoff cannot be resolved from the repo.
PROBLEM_ANALYSIS.md
After opt-in, create the selected planning run's dsh-plans/.state state and public artifact directory, then write PROBLEM_ANALYSIS.md before PLAN_v1.md. Include: original problem; symptoms and reproduction status; evidence inspected; RCA summary and 5 Whys (ending early with unknown when evidence stops); suspected root cause and confidence; planning skill selected and why; language, reviewer, criticizer, and executor settings used; open diagnostic gaps the plan must address. Pass the original problem, RCA summary, evidence, and PROBLEM_ANALYSIS.md into the selected planning skill.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/diagnose-before-plan/SKILL.md
Popularity
- Repository stars
- 78
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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