Analyze plan files for ambiguities, contradictions, and missing information.
npx skills add https://github.com/onairmarc/dotfiles --skill plan-review-onairmarc
Please help me install this Agent Skill. Skill: plan-review Source: https://github.com/onairmarc/dotfiles/tree/main/.agents/skills/plan-review Command: npx skills add https://github.com/onairmarc/dotfiles --skill plan-review-onairmarc
This plan-review workflow helps teams identify ambiguity, contradictions, and information gaps in implementation plans, enabling faster, safer execution.
Provide the path to the plan file you want reviewed and I will read, analyze, and return an enriched plan.
High-intent search queries and answers about installing and using this skill.
A plan review applies lens-driven analysis to identify ambiguities, contradictions, and missing information in a plan file, surfacing scope gaps to prevent misinterpretation during execution.
Resolving contradictions in implementation requirements is handled through an interactive AskUserQuestion loop that validates assumptions and enriches the plan with concrete, unambiguous instructions.
You update a plan file by interactively resolving gaps through targeted questions, writing the enriched plan back to disk with in-place enrichment, and preserving a traceable version history.
Yes, the plan review workflow outputs an agent-ready, execution-friendly version of your plan, ensuring the documentation has concrete instructions validated through interactive gap resolution.
Requirements analysis limitations include the need for interactive user input to resolve ambiguities, as the process cannot autonomously fill information gaps without targeted questions and assumption validation.
GenerativeAgentsGenerate a review-ready PRD from initial-requirements.md using the PRD template.
NicolaiLassenConvert LlmAgent model responses into validated Pydantic objects using output_schema.
dariuszparysAnalyzes work items and tickets to produce a structured task breakdown.
hg-pyunConvert ambiguous requests into actionable specifications via interactive clarification.
