Most Used Tags
Published Resources
verify
Enforce evidence-based completion claims — require fresh command output before reporting success. Use when completing any task, fixing a bug, finishing a phase, running tests, building, deploying, or making any "it works" claim.
memory
Use AI DevKit memory via CLI commands. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.
dev-lifecycle
Structured SDLC workflow with 8 distinct phases for feature development.
tdd
Test-driven development — write a failing test before writing production code. Use when implementing new functionality, adding behavior, or fixing bugs during active development.
agent-orchestration
Proactively orchestrate running AI agents — scan statuses, assess progress, send next instructions, and coordinate multi-agent workflows. Use when users ask to manage agents, orchestrate work across agents, or check on agent progress.
New Requirement
Scaffold feature documentation from requirements to implementation readiness.
AI DevKit
The toolkit for AI-assisted software development, enhancing coding agent efficiency.
technical-writer
Review and improve documentation for novice users. Use when users ask to review docs, improve documentation, audit README files, evaluate API docs, review guides, or improve technical writing.
Update Planning
Streamline update planning documentation to reflect implementation progress.
capture-knowledge
Capture structured knowledge about code entry points and document it effectively.
remember
Store reusable guidance in the knowledge memory service.
Check Implementation
Ensure implementation aligns with design and requirements documentation.
Writing Test
Streamline the process of adding tests for new features.
Code Review
Pre-push code review against design docs.
Review Requirements
Review feature requirements for completeness.
Execute Plan
Execute a feature plan task by task for streamlined development.
simplify-implementation
Analyze and simplify existing code implementations to enhance maintainability and scalability.
debug
Guide structured debugging before code changes by clarifying expected behavior, reproducing issues, identifying likely root causes, and agreeing on a fix plan with validation steps. Use when users ask to debug bugs, investigate regressions, triage incidents, diagnose failing behavior, handle failing tests, analyze production incidents, investigate error spikes, or run root cause analysis (RCA).
Review Design
Review feature design for completeness.