Synthesize self-contained implementation prompt(s) that hand a task to a fresh coding agent with an empty context window, decomposing into a phased chain or parallel set when the task is too large for one. Use when the user says "write a handoff prompt", "generate a prompt", "distill this for a fresh agent", or asks…
Produces an unusually strict implementation plan focused on structural simplicity, minimal moving parts, and maintainable execution. Use for a thermo-nuclear plan, plan quality audit, strict planning review, deep implementation plan, or when the user wants an ambitious plan that avoids complexity.
Turns finalized requirements and design documents into an executable, sequenced build plan. Reads the SRS, use cases, architecture document, and UX-foundations document, then decomposes the system into epics and vertical feature slices — each tracing the FR IDs it implements, the UC IDs it realizes, and the SCR screen…
Game-development PM method for turning game vision into Experience, Mainstays, Features, Levels, Tasks, Iters, heatmaps, MVP scope, and validation plans.
A question-planning guide that turns vague requests into clear, answerable questions using methods such as the Mom Test, five whys, and first-principles thinking.
FASE 9 del pipeline de Planitor. Dual-LLM: Modelo A (analítico) evalúa desde perspectiva analítica-rigurosa y Modelo B (creativo) desde perspectiva estratégica-creativa. Planitor sintetiza ambas evaluaciones en un JUDGE-REPORT.json final con auto-fix. Incluye validación fiscal, scoring de completitud y feedback…
Use this skill whenever a user wants to: evaluate whether an idea is worth building, run a feasibility study, determine if a project has legs, assess the viability of a startup concept, get a go/no-go recommendation backed by evidence, analyze market opportunity for a product, estimate the real cost and timeline of a…
Use when doing AI product management on an AI system itself — writing or debugging evals, prompts, agent/RAG/tool design, model selection and routing, the data flywheel, eval-gated shipping, online quality/groundedness/drift monitoring, safety/red-teaming, or inference cost and unit economics. Triggers: AI PM, AIDLC…
A structured role-play framework in Chinese for reviewing an important business decision through the viewpoints of seven well-known business advisers. It requires details about the decision, timing, and real constraints before the review begins.
Use this skill for long tasks, multi-step coding tasks, batch fixes, refactoring, productization, requirement refinement, task planning, handoff, final verification, preventing missed requirements, and continuing interrupted work.
Codex-first multi-agent production pipeline for non-trivial implementation work. Uses spawnagent to run Spec, Plan, Architecture, Execution, Review, and Doc subagents, persists artifacts in .pipeline-workspace/, and loops Execution and Review until the change passes. Use when the user wants a feature, refactor, or…
Sustainable Archaeology Tourism Planning Advisor - Comprehensive evidence-backed analysis harness for cultural-heritage tourism planning. Use when user asks about sustainable tourism planning, heritage site management, carrying capacity analysis, visitor management, conservation vs visitation balance, community-based…
Manage a large-scale software engineering project as a versioned, ordered, dependency-aware task plan, executed one sprint at a time through a backlog -> inprogress -> done state machine, with an auditable trail and PLAN.md as the single source of truth. Generalizes the clean-room scope -> plan -> implement pipeline…
Orchestrate a build as orchestrator → worker → critical reviewer, delegating to Codex, Grok, OpenCode, Claude, or Kimi and looping until an independent cross-model reviewer scores the diff 9/10. Use when the user says master-workflow, asks to delegate or offload work to another agent CLI, asks to run a review loop…
Assess likely downstream impact, decide what should be reconciled now versus carried forward explicitly, and keep the repository coherent without sweeping every related surface.
Plan or revise the smallest reliable AI setup for a concrete project. Use when the user explicitly invokes $build-ai-team; asks whether one Agent or several Agents are needed; requests a team plan or an add, merge, replace, keep, ownership, or handoff change to an existing Agent team; or asks which model configuration…
A Japanese-language idea-development system based on repeated rounds of deepening, combining, and changing ideas. It is started with the /idea-darwin command.
Derive BDD scenarios and TDD test skeletons from approved SDD specifications. ATDD acceptance test tables are optional output for specialized needs. Use when: spec is approved, starting BDD/TDD implementation, generating test structures. Keywords: forward derivation, spec to test, BDD generation, TDD skeleton, test…
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originalMIT
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