Auth
Authentication and authorization
retro
by corca-ai
"Comprehensive session retrospective that turns one session's outcomes into persistent improvements. Adaptive depth: deep by default, with light mode via --light (and tiny-session auto-light). Triggers: \"cwf:retro\", \"retro\", \"retrospective\", \"회고\""
ship
by corca-ai
"Automate GitHub workflow so validated session artifacts become ship-ready issue/PR/merge actions with explicit human control points. Triggers: \"/ship\""
memory
by JinFanZheng
Persistent memory for cross-session personalization. Trigger when user shares identity, preferences, relationships, or facts worth remembering.
in-product-messaging
by SkeneTechnologies
When the user wants to design in-product messages -- including tooltips, banners, modals, slideouts, or notification bells -- without annoying users. Also use when the user says "in-app messages," "product announcements," "nudges," "contextual help," or "message frequency." For upgrade prompts specifically, see paywall-upgrade-cro. For feature launches, see feature-adoption.
growth-modeling
by SkeneTechnologies
When the user wants to build quantitative growth models -- including loop-based models, sensitivity analysis, revenue forecasting, or unit economics. Also use when the user says "growth forecast," "revenue model," "CAC LTV," "growth projections," or "financial model." For growth loops, see growth-loops. For PLG metrics, see plg-metrics.
plg-strategy
by SkeneTechnologies
When the user wants to assess PLG readiness, design a product-led growth strategy, choose between freemium and free trial, evaluate PLG maturity, or plan a hybrid PLG + sales model. Also use when the user says "should we do PLG," "PLG vs sales-led," "growth motions," "PLG audit," or "go-to-market strategy." For specific mental models, see plg-mental-models. For growth loop design, see growth-loops.
agent-teams
by JochenYang
Create agent teams for parallel collaboration. Triggers on keywords like team, parallel, multi-agent, coordinate, collaborate, review team, multiple perspectives, agent-teams.
activation-metrics
by SkeneTechnologies
When the user wants to define, measure, or optimize user activation -- including identifying the aha moment, measuring time-to-value, or building an activation funnel. Also use when the user says "activation rate," "aha moment," "setup moment," "habit moment," "time to value," or "how do I measure activation." For onboarding design, see product-onboarding. For retention, see retention-analysis.
self-serve-motion
by SkeneTechnologies
When the user wants to reduce friction in the self-serve buying experience, optimize in-product checkout, remove "contact sales" gates, or design self-serve onboarding and support. Also use when the user says "frictionless," "self-service," "remove sales gates," "no-demo experience," or "friction audit." For signup flow optimization, see signup-flow-cro. For pricing page design, see pricing-strategy.
product-analytics
by SkeneTechnologies
When the user wants to set up product analytics -- including event taxonomy, tracking plans, funnel analysis, or tool selection (Mixpanel, Amplitude, PostHog). Also use when the user says "event tracking," "analytics setup," "tracking plan," "analytics implementation," or "user identification." For PLG metrics, see plg-metrics. For experimentation, see growth-experimentation.
signup-flow-cro
by SkeneTechnologies
When the user wants to optimize a signup or registration flow -- including field selection, social auth, single-step vs multi-step forms, or mobile signup. Also use when the user says "signup conversion," "registration form," "reduce signup friction," "signup A/B test," or "signup drop-off." For post-signup onboarding, see product-onboarding. For activation measurement, see activation-metrics.
viral-loops
by SkeneTechnologies
When the user wants to design product-driven viral growth -- including invite mechanics, collaboration loops, embedding loops, or network effects. Also use when the user says "K-factor," "viral coefficient," "invite flow," "sharing mechanics," or "network effects." For structured referral programs, see referral-program. For growth loop design, see growth-loops.
retention-analysis
by SkeneTechnologies
When the user wants to analyze, diagnose, or improve user retention -- including cohort analysis, churn prediction, engagement scoring, or resurrection campaigns. Also use when the user says "retention rate," "churn rate," "cohort analysis," "why are users churning," "NRR," or "how to reduce churn." For engagement loops, see engagement-loops. For activation, see activation-metrics.
product-onboarding
by SkeneTechnologies
When the user wants to design or improve new user onboarding -- including product tours, checklists, empty states, welcome flows, or progressive disclosure. Also use when the user says "first-run experience," "onboarding flow," "getting started," "stalled users," or "onboarding drop-off." For activation metrics, see activation-metrics. For signup optimization, see signup-flow-cro.
secondme-nextjs
by mindverse
基于配置和需求生成 Next.js 项目，支持 --quick 快速模式跳过 PRD 阶段
trial-optimization
by SkeneTechnologies
When the user wants to optimize free trial conversion -- including trial length, trial type selection, expiry flows, or trial email sequences. Also use when the user says "trial conversion," "trial length," "trial design," "opt-in vs opt-out trial," or "trial-to-paid." For activation, see activation-metrics. For feature gating, see feature-gating.
user-segmentation
by SkeneTechnologies
When the user wants to segment users for personalized experiences -- including behavioral cohorts, engagement scoring, churn risk scoring, or ICP refinement. Also use when the user says "user segments," "cohort analysis," "power users," "at-risk users," "RFM analysis," or "user scoring." For product-led sales, see product-led-sales. For retention, see retention-analysis.
example-framework-skill
by bobmatnyc
Example of a properly self-contained skill following all best practices
consensus-voting
by rysweet
Multi-agent consensus voting with domain-weighted expertise for critical decisions requiring structured validation
investigation-workflow
by rysweet
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
handoff
by igor1309
Use to hand off ongoing work to a fresh session, or to resume from a handoff in a new one — "write a handoff", "hand off this work", "resume", "continue where we left off". On write, compacts the conversation (reasoning, decisions, dead-ends, next step) into a short doc under a per-project name in the OS temp dir, artifacts referenced by path not copied. On resume, reads the newest back.
actionbook
by evolving-machines-lab
Browser action engine. Provides up-to-date action manuals for the modern web — operate any website instantly, one tab or dozens, concurrently.
evolve
by evolving-machines-lab
"Evolve SDK development for TypeScript and Python. Use when building applications with Evolve to run AI agents (Claude, Codex, Gemini, Qwen, Kimi, OpenCode, Droid) in secure sandboxes. Triggers: (1) Creating Evolve applications, (2) Configuring agents with skills, Integrations, MCP servers, (3) Using Swarm abstractions (map, filter, reduce, bestOf/best_of, verify), (4) Building Pipelines, (5) Structured output with schemas, (6) Session management, streaming, observability, (7) Checkpointing, storage & StorageClient, (8) Cost tracking (per-run and per-session spend), (9) Historical sessions & trace download via sessions() client."
dynamic-debugger
by rysweet
Interactive debugging via DAP-MCP for multiple languages with natural language commands