35,518 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.
Project bootstrap wizard — turns any codebase into a fully planned, agent-ready project with coordination docs, debugging guidelines, and parallel execution infrastructure. Use when starting work on a new or unfamiliar project that needs structure.
A reasoning guide based on publicly available material about Elon Musk, including biographies, interviews, posts, court testimony, decision records, and criticism. It presents a non-personal perspective and does not claim to be Musk.
Runs a durable inspect/plan, implement, verify, and fresh-review loop toward an explicit repository goal. Preserves manually resumable state and uses oh-my-claudecode for autonomous continuation. Use only when the user explicitly invokes goal-loop.
Agent-agnostic skill that recommends what feature a product should build next by combining codebase analysis, product context, competitor gaps, market signals, growth scoring, and implementation feasibility. Use when the user asks what to build next, wants growth opportunities, competitor gap analysis, a growth…
AIFLC (AI Full Life Cycle) PDLC (Product Development Life Cycle) Family — 11 injectable workflow packages that guide AI coding agents through professional software delivery: idea evaluation → project initiation → portfolio governance → product ownership → UX design → architecture → workspace generation → compliance →…
A product-development guide for building software for real users rather than only making code run. It helps decide how much attention to give user needs, product usefulness, error handling, documentation, and release risk.
Run a substantive idea, draft, design, architecture, strategy, or decision through a modular Council → Chair → Executor → Reviewer workflow. Use when the user asks to council, develop, pressure-test, stress-test, poke holes in, strengthen, review, synthesize, create an implementation plan, or turn a complex set of…
Long-cycle coding workflow plugin - Structured state machine with TDD-driven milestone execution and deterministic gates for sustained AI coding sessions.
Skill that makes your coding agent stop and ask instead of silently resolving spec ambiguity, picking up workarounds, or shipping 'close enough'. Accuracy over autonomy.
★not rated 2 2d agoA
tokens not measured
originalMIT
Spec-driven development for existing codebases. Reads your repo's conventions, interviews you about a change, and writes spec, design and tasks to disk, with blast-radius analysis. Regulatory policy profiles are optional and off by default.
★not rated 2 17d agoA
tokens not measured
originalMIT
Run one Plan-Do-Check-Act cycle for a PDCA area in workspace/pdca/, ending in a measured result and an explicit decision. Use when the user wants to plan a measurable experiment, record what was done, check the outcome against a baseline, close a cycle, or asks whether previous work actually worked. Requires an area…
Convene a four-role adversarial council - Believer, Skeptic, Investor, Judge - on a decision, idea, plan, or claim, and issue a ruling with a confidence level, a ranked list of what must be true, and the cheapest test that would falsify it. Use when the user asks whether to build, ship, buy, join, or kill something…
AI coding with intent — the end of vibe coding. A spec-driven pipeline for Claude Code that loops a five-lens audit to zero findings before code ships. It won't save you time or tokens; it saves you from slop. File-backed, no external services. Legacy (V2-era) edition.
★not rated 2 2mo agoA
tokens not measured
originalApache-2.0
Like ESLint for your thinking. Scores assumptions as Kind or Wicked, runs consider-the-opposite, surfaces blind spots. Outputs paste-ready judgment memos before consequential decisions.
★not rated 2 4mo agoA
tokens not measured
originalMIT
Marketplace hosting the slopstop plugin: ticket-anchored AI development for Linear, JIRA, and GitHub Issues — TDD-first planning, scope control, adversarial review, and multi-agent orchestration.
Model a company in Cisely (agency model) over the Cisely MCP — personas, contexts, stakeholders, goals, expectations, mission, beliefs, strategy, initiatives, metrics, Jobs-to-be-Done, value proposition.
Claude's partner inside Claude Code. He writes the code; she notices. She holds the mission you set and flags it the moment he drifts off it, gates irreversible actions before they fire, whispers when he's stuck or hasn't verified, and shows up once every session. No daemon, no database, no backend — she's in your…
★not rated 2
changed 10d agoA
tokens not measured
originalApache-2.0
Intent-alignment plugin for coding agents: requirement-analysis playbook, three-level intent funnel with file-in-the-loop persistence, and an optional red-blue adversarial review skill. DingTalk group channel and blocking gates live in the intent-gate-service sister MCP service.
★not rated 2 1mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: