What problem does it solve?
Scoping a client engagement against an existing platform usually means weeks of manual code reading and guesswork about what the platform already covers. This Skill turns a folder of client documents (transcripts, requirement dumps, spec docs) into an evidence-backed Epic/Story tree where every coverage verdict is re-verified by executable gates against a validated checkout of the platform's code, so no claim enters the report unverified.
Core Features & Use Cases
- Three-phase pipeline: Scoping (docs → structured Epic/Story tree), Verification (parallel read-only subagents investigate the platform codebase, every finding gated before writing), and Synthesis (client-facing summary plus prioritized backlog).
- Executable trust gates: five deterministic scripts enforce completeness of the tree, freshness of the platform checkout, re-run of every grounding query, pipeline citation cross-checks, and surfacing of significant open PRs.
- License-tier tagging and effort scoring: verdicts are split by core vs licensed tiers and gaps are scored in atomic commits (0–5), never T-shirt sizes.
- Use Case: A consultancy receives 40 requirement documents for a B2B portal. The Skill produces a coverage report showing which stories the platform already implements, which are partial, and a sequenced backlog of the remaining work with effort estimates.
Quick Start
Run the om-gap-analysis skill on my folder of client requirement documents to produce a verified coverage report and implementation backlog against the platform repository.