ReinaMacCredy/Skills

codex-goal-loop

Isolated Codex goal-loop skill that combines spec-to-plan, goal-loop-native phase planning, and gated phase-by-phase execution. Use when the user asks to turn a spec into a goal-loop plan, run a goal-loop plan, or package the spec-to-goal-plan,…

원문 언어: 영어

goal-loop

Autonomous phase-by-phase plan execution loop. Plan-subagent decomposes each phase into a dependency-tagged wave graph, parallel Opus sub-agents implement via the inlined orchestrator pattern (main thread plans/synthesizes, sub-agents do all edits), advisor +…

원문 언어: 영어

goal-distill

Distill the current session — conversation, decisions, corrections, repo state, and recent history — into a single paste-ready /goal prompt that drives an autonomous phase-by-phase loop (decompose → Plan-subagent on Opus → main-thread execute → re-measure →…

원문 언어: 영어

next-move

Deep strategic analysis of a project to identify the single highest-leverage, most innovative addition. Use this whenever the user asks what to build next, what the most impactful improvement would be, what the "next big thing" is for their project, what's…

원문 언어: 영어

orchestrator

Enter orchestration-only mode where Claude plans, delegates to sub-agents, and synthesizes results instead of implementing directly. Use whenever the user says they want to act as tech lead, wants Claude to orchestrate, wants sub-agents to do the work, says…

원문 언어: 영어

bug-hunt-swarm

Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a…

원문 언어: 영어

review-swarm

Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps. Use when the user asks for a review swarm,…

원문 언어: 영어

visual-explainer

Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data — including interactive Mermaid diagrams with auto-playing source→target flow animation, hover-to-trace the full upstream+downstream chain, and…

원문 언어: 영어

consult-chatgpt-pro-browser

Use when the user asks to consult ChatGPT Pro, ask chatgpt.com, get an external ChatGPT second opinion, have GPT Pro review a plan, codebase, diff, design, architecture, bug, or "ask your big brother" through the Codex in-app browser. This skill uses…

원문 언어: 영어

consult-chatgpt-pro

Use when the user asks to consult ChatGPT Pro, ask chatgpt.com, get an external ChatGPT second opinion, have GPT Pro review a plan, codebase, diff, design, architecture, bug, or "ask your big brother". This skill builds an allowlisted sanitized review packet,…

원문 언어: 영어

blueprint

Generate beautiful, self-contained HTML blueprint pages that visually plan implementations with architecture diagrams, phased task breakdowns, file change maps, dependency graphs, risk matrices, and verification checklists. Use this skill whenever the user…

원문 언어: 영어

systematic-fix

Disciplined bug-fix-and-lock-down workflow: catalog every issue, fix each one with verification, then create comprehensive e2e integration tests that would have caught each fixed issue plus similar failure modes. Use this skill whenever the user has just…

원문 언어: 영어

codebase-audit

Deep codebase audit that first reads project docs (AGENTS.md, README.md) and investigates the architecture, then systematically finds hardcoded constants that should be dynamic and unfinished code (TODOs, "will"/"would" in comments). Use this skill when the…

원문 언어: 영어

simplify-code

Review a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes. Use when the user asks to "simplify code", "review changed code", "check for code reuse", "review code…

원문 언어: 영어

init

Generates AGENTS.md file using the WHAT/WHY/HOW framework. Explores the codebase and produces a minimal (<100 line) context file with progressive disclosure.

원문 언어: 영어

mcp-for-agents

Designs or reviews MCP servers so AI agents can use them reliably: outcome-oriented tools, flat constrained parameters, actionable errors via isError, token-efficient responses, composable outputs, and disciplined tool surfaces. Use when building an MCP…

원문 언어: 영어