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Found 147 Skills
Generate multiple viable solution options after research is complete, before converging on a single approach. Use when you need to explore the solution space, ask clarifying questions, and produce 3-5 distinct options to consider.
Do the work. Pre-flight, build, detect drift, salvage if needed. Use when you have a clear aim and are ready to implement.
Use when annotating code with structured metadata, tags, and markers for AI-assisted development workflows. Covers annotation formats, semantic tags, and integration with development tools.
Archive completed plans from plans/active/ to plans/completed/, supplement verification results and completion time. Suitable for calling after implementation is finished.
Use when implementing features from a spec or requirements document, doing multi-phase work, or when you need structured Analyze-Plan-Ask-Execute-Review cycles to prevent ad-hoc coding and ensure spec-aligned, pattern-consistent implementations
AI-Native Issue-Driven development workflow. From GitHub Issue to merged PR: parse issue, explore codebase, design technical plan, execute with agent team, create PR, and cleanup. Use when a user wants to implement a GitHub Issue end-to-end: `/issue-flow #123` or `/issue-flow` to pick from open issues.
Use after planning completes and before any implementation begins. Verifies that the current phase contract, story map, and bead graph are structurally sound, execution-ready, and aligned with locked decisions. Use for prompts like "validate the plan", "is this ready to build?", "check the bead graph", "verify execution readiness", or whenever there is doubt about whether the current phase is safe to execute.
Use this skill when you need to modify a project (add, delete, or modify files) and want to organically synchronize update_plan with CSV: Create a `{Task Name} TO DO list.csv` file in the project root directory, use TODO/IN_PROGRESS/DONE statuses to drive the pending/in_progress/completed status of the plan, advance tasks synchronously, and delete the file after all tasks are completed.
Comprehensive Pal MCP toolkit for code analysis, debugging, planning, refactoring, code review, and execution tracing. Provides systematic workflows with expert validation for complex development tasks.
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, designing systems, or making architectural decisions. Enters plan mode, reads all available docs, explores the codebase deeply, then interviews the user relentlessly with ultrathink-level reasoning on every decision until a shared understanding is reached. Produces a validated design spec before any implementation begins. Triggers on feature requests, design discussions, refactors, new projects, component creation, system changes, and any task requiring design decisions.
Use this before starting feature development isolated from the current workspace or executing implementation plans — create isolated git worktrees with intelligent directory selection and security validation
Organize reusable programming patterns, library usages, and technical techniques that address "This is the correct way to do such tasks" into a prescriptive reference library, which can be retrieved and reused on demand during feature-design and issue-analyze phases. There are three types: pattern (design patterns, programming idioms), library (usage and pitfalls of a specific library/framework), technique (specific operation skills / command recipes). Trigger scenarios: when users say "Record a trick", "This usage is worth noting", "tricks", "Record library usage", or when valuable techniques worth documenting and archiving are discovered during feature-design / issue-analyze phases and actively pushed. For how to distinguish it from learning / decisions / explore, refer to the root skill of `easysdd`.