37,131 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 decision-making guide for people in China who are stuck starting, changing, or ending a personal situation because of fear, cost, conflicting choices, or past investment. It first tests the feared failure at low cost and then suggests a practical first move.
Map a huge, foggy engineering effort into durable decision tickets. Use only when the user explicitly selects Wayfinder for a multi-session destination with dependent unknowns.
A career-planning add-on that studies a résumé against current artificial-intelligence and related job opportunities, then creates a tailored learning route.
Escalation-only workflow for materially ambiguous, research-heavy, high-impact, cross-system, or failed-validation tasks. Do not load for clear, bounded, low-risk work; use the AGENTS fast path.
Use when the user provides any kind of feature spec (rough notes / system design / partial spec / canonical PRD) and wants it implemented end-to-end autonomously on the Kimi Code CLI (AgentSwarm-engined), or invokes /kimi-mp-implement.
A systematic engineering methodology for coding agents. Teaches where to look when researching a codebase, how to plan before coding, how to verify work instead of assuming it is done, how to debug from evidence, and how to sustain long autonomous tasks across sessions without losing state. Use when writing or…
Use when the user wants a build or architecture idea stress-tested before they commit to building it — "help me plan/design this app", "design the architecture for X", "review my architecture before I build", "is my mental model of X sound", "I want to build Y because Z — poke holes in it". For the still-articulating…
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.
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
changed 9d 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 2mo 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…
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 4mo 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 6mo agoA
tokens not measured
originalMIT
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.
Turn product ideas into structured, buildable architecture blueprints with C4 diagrams, cost estimates, complexity scores, and next-steps guides.
★not rated 2 3mo agoA
tokens not measured
originalApache-2.0
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: