Use when the user asks Codex to review a repository for improvement opportunities, feature inspiration, roadmap ideas, or implementation candidates before planning changes; exclude direct implementation-only, factual/explanation, trivial, or explicit no-plan requests.
npx skills add https://github.com/Optim-Agent/optim-plans --skill review-and-plan
Discover opportunities first; implementation still goes through ../optim-plans/SKILL.md.
gh search repos / gh search code when available; if gh is unavailable or unauthenticated, use the GitHub REST/search API or web search constrained to GitHub repository pages. Record sources either way.id: stable ID such as OPP-001category: one group aboverank: rank within category or overall listtitlerepo_evidence: local file/behavior evidencerepository_url: GitHub source repository URLsupported_claim: concise claim supported by that sourcesource_tool: gh, github-api, or webaccept, defer, or reject, with evidence. Offer the other dispositions as alternatives, then Other second-last, then Auto-complete last.Auto-complete as acceptance of the recommended planning disposition only. It never approves execution.PLAN_v1.md, refinement, immutable execution manifest approval, execution, validation, controller verification, and integration gates.supported_claim; do not overstate the source.Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take optim-agent/review-and-plan from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.