master-plan-methodology

master-plan-methodology is a Planning & task breakdown skill for AI agents, published by oborchers in the fractional-cto repository on GitHub. Skillspace rates master-plan-methodology D (64/100) and it passed the safety scan; the rating is based on static analysis only.

This skill should be used when authoring, reviewing, or modifying a multi-phase master planning document via the planning-tools plugin (especially the /plan-master and /plan-verify commands). Codifies the universal core sections, trigger-based optional sections, integer-only phase numbering, Open Questions placement, one-PR-per-plan rule, status conventions, evidence attribution, callouts, cross-reference formats, the v0.3.0 list-shape mandate (phases and questions are heading + bulleted list, never markdown tables), the v0.3.1 per-phase TL;DR requirement (1–3 sentence what/why summary under each phase heading for glance-ability), the v0.3.2 plain-bullet scope shape (`- <action>` items, no `- [ ]` checkboxes — the phase status emoji is the sole tick signal), and the v0.3.3 context-block shape (a plan-level `**TL;DR:**` + a bulleted metadata list instead of a `>` blockquote; legacy blockquote blocks accepted silently). Project-agnostic — no ticket-prefix or plan-type taxonomy.

Grade

D

Quality

64 / 100

Safety

Passed

GitHub stars

25

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.