preflight
SolidUse before starting delivery work. Pre-implementation validation checklist to ensure readiness.
AI & Automation 45 stars
3 forks Updated today MIT
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# Preflight Skill
Pre-delivery validation checklist. Run before every implementation task.
## Checklist
### Constraints (ALWAYS FIRST)
Before scoping any delivery work, establish constraints. Do not propose a plan before knowing the budget.
- [ ] **Time budget**: "How much time do you have for this?" (hours, days, sprint length)
- [ ] **Resource constraints**: Solo? Team? What skills are available?
- [ ] **Fidelity**: Demo/prototype vs. production? Who is the audience?
- [ ] **Dependencies**: Waiting on anything external?
If time budget < 8 hours, scope aggressively — one vertical slice, no polish. If the initial plan exceeds the time budget, cut scope before presenting it to the user.
**Re-forecast trigger (audit-triggered / emergent work).** Work that opens as "just address the recommendations", "quick fix", or any audit/assessment follow-up still gets a constraint pass — set an explicit estimate even when no one asked for one. Then, mid-session, **re-forecast when the work crosses ~2× the estimate or when no estimate was ever set**: stop, state actual-so-far vs estimate, and re-scope or re-confirm the budget before continuing. The failure this catches: emergent cycles that bypass preflight and balloon silently (dogfood `cycle-history.yml` — a "~2h" audit cycle ran ~9h; a "session-scope" one ran ~14h). The re-forecast becomes the `calibration.effort_accuracy` data point at `/retrospective`.
*Source: Hoskins transcript (2026-04-25) — agent proposed 20-hour plan befor...
Details
- Author
- haabe
- Repository
- haabe/mycelium
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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