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Found 5,653 Skills
Manifestly Checklists integration. Manage Checklists, Projects, Users, Teams. Use when the user wants to interact with Manifestly Checklists data.
Automate your return and refund process with configurable return windows, restocking fees, and rule-based approval logic for each product type
Generate structured planning docs for web projects with context-safe phases, verification criteria, and exit conditions. Creates IMPLEMENTATION_PHASES.md plus conditional docs. Use when: starting new projects, adding major features, or breaking large work into manageable phases.
Clear description of what this skill does and when to use it
Systematically review AI agent work for quality, accuracy, and completeness. Catches bugs, verifies patterns, checks against requirements, and suggests improvements before committing changes.
Analyze your SpecStory AI coding sessions in .specstory/history for yak shaving - when your initial goal got derailed into rabbit holes. Run when user says "analyze my yak shaving", "check for rabbit holes", "how distracted was I", or "yak shave score".
Orchestrates task operations. Analyzes Story, builds optimal plan (1-6 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.
Epic decomposition into trackable issues. Triggers: "create a plan", "plan implementation", "break down into tasks", "decompose into features", "create beads issues from research", "what issues should we create", "plan out the work".
Check project progress, show context, and route to next action (execute or plan). Triggers include "progress".
Executes implementation tasks (Todo -> In Progress -> To Review). Follows KISS/YAGNI, guides, quality checks. Not for test tasks.
This skill should be used when the user asks to "create a Feishu doc", "create a new doc in Feishu", "open Feishu and create document", "create document in leiniao-ibg", or mentions creating documents in Feishu/Lark workspace.
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.