35,491 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
A self-contained agentic development harness for Claude Code. One command runs the full feature pipeline: context, think, design + threat model, plan with self-review, sub-agent execution, double code review, and security gates. Bundles every skill and agent it needs.
★not rated 8
changed yesterdayA
tokens not measured
originalMIT
Teach, practice, apply, and reference an evidence-grounded founder operating system derived from Sam Altman's Startup School 2026 interview: use AI leverage to raise ambition, exploit fast technology shifts without abandoning business fundamentals, build evidence-updated conviction and compounding relationships, and…
Diagnose the constraint that most limits an idea, product, project, codebase, architecture, workflow, AI agent, or operating system from achieving its goal. Use for feasibility reviews, pre-build idea audits, architecture and repository assessments, scaling-readiness checks, delivery slowdowns, reliability or cost…
Stress-test and strengthen a business plan through iterative rounds of adversarial investor critique and strategic re-engineering. Use when you need to identify existential risks in a business model and transform vulnerabilities into defensible moats. Do NOT use for creative writing, general notes, or non-business…
Research-first scouting agent skill that runs BEFORE any build decision, new dependency, new system, or feature request. Search existing solutions (codebase, dependencies, packages, GitHub repos, APIs, SaaS, templates) before writing code. Output a REUSE / USE / FORK / BUY / INTEGRATE / BUILD recommendation with a…
Seed, audit, adopt, and progressively evolve an agent-native repository with risk-triggered specs, durable decisions, resident governance skills, capability state, deterministic gates, and safe upgrades. Use when initializing or upgrading a repository, when an unmanaged repository grows complex, or when delivery…
Momentum router. Default is BUILD — routes straight to the full-cycle build engine. Strategy rails (idea/pricing/GTM) and stage-resume are opt-in side doors, never a toll. Skip is available at every step.
Plan a module as a mini product by creating feature delivery docs, module memory, acceptance criteria, architecture impact, test plan, and ordered tasks before implementation. Use when asked to build, create, redesign, or materially change a module.
Turn rough ideas or incomplete requests into self-contained prompts that another execution agent can run. Automatically select suitable expert roles and independent work methods, show the selection so the user can change it, ask one high-value clarification question at a time, incorporate project and user context, and…
Full product development pipeline: expert role debates, single-blind review, document generation, and human decision logging. Orchestrates 4 modular skills into a complete idea-to-development flow. Use when starting a new product from scratch. Triggers on "product workflow", "new product", "full pipeline", "idea to…
Use this skill whenever the project uses spec-graph for managing requirements, decisions, phases, changes, interfaces, states, tests, and other semantic entities in a typed graph. Trigger when the user mentions spec-graph, or when the task involves any of: tracking requirements or decisions, planning development…
A Japanese-language guided questioning method for examining the deeper reasoning behind an idea. It asks questions only, progressing from clarification to assumptions, contradictions, and underlying principles.
Full-lifecycle SDLC guardrailing framework for Claude Code — from product ideation and planning through implementation, code review, and test validation. Enterprise-grade skills and agents for AI-human peer collaboration.
★not rated 8 yesterdayA
tokens not measured
originalMIT
Breaks down epics into features and tasks optimized for AI agent execution. Includes structure preparation, parallel codebase analysis, feature sizing, task generation, and dependency mapping. Use when an epic is ready for sprint planning or when a large work item needs decomposition into actionable pieces.
Adds intent-and-decision alignment before implementation with an optional durable HTML record, explicit behavior-preserving codebase cleanup, evidence-based review, PR explanations, UI design and mockups, clear explanatory visuals, and clear writing. Requires Node.js 22 or newer.
★not rated 8
changed todayA
tokens not measured
originalMIT
Research and implement a code change from an existing issue, ticket, or issue-like artifact. Use when the user says "$from-issue", asks Codex to work from a GitHub issue, local markdown issue, tracker ticket, bug report, feature issue, or AFK implementation ticket, and expects codebase research, linked PR…
Produces a complete, executable plan for restructuring a codebase from a monolithic layer-by-type layout (flat components/, hooks/, services/, utils/...) into feature-driven architecture (features/ / + shared/). Use when the user wants to refactor, restructure, or migrate an app from monolith to…
Finish a PAI→Soma migration by placing PAI's imported life-OS content correctly: keep the Purpose compartment as a lean 4-field distillation, promote the rich imported categories (beliefs, mental models, decision frames, challenges, lessons) into Soma memory as recall-able notes, and protect the curated purpose.md…
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