Agent
Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode.
1 2mo ago A 32 tokens
copy · 100% MIT
Agent
Researches a chosen AI framework's official docs to produce implementation-ready guidance �?best practices, syntax, core patterns, and pitfalls distilled for the specific use case. Writes the Framework Quick Reference and Implementation Guidance sections of AI-SPEC.md. Spawned by /gsd-ai-integration-phase orchestrator.
1 2mo ago A 68 tokens
copy · 98% MIT
Agent
Deeply analyzes codebase for a phase and returns structured assumptions with evidence. Spawned by discuss-phase assumptions mode.
1 2mo ago A 31 tokens
copy · 100% MIT
Agent
Applies fixes to code review findings from REVIEW.md. Reads source files, applies intelligent fixes, and commits each fix atomically. Spawned by /gsd-code-review-fix.
1 2mo ago A 43 tokens
copy · 84% MIT
Agent
Reviews source files for bugs, security issues, and code quality problems. Produces structured REVIEW.md with severity-classified findings. Spawned by /gsd-code-review.
1 2mo ago A 40 tokens
copy · 84% MIT
Agent
Explores codebase and writes structured analysis documents. Spawned by map-codebase with a focus area (tech, arch, quality, concerns). Writes documents directly to reduce orchestrator context load.
1 2mo ago C 46 tokens
copy · 89% MIT
Agent
Manages multi-cycle /gsd-debug checkpoint and continuation loop in isolated context. Spawns gsd-debugger agents, handles checkpoints via AskUserQuestion, dispatches specialist skills, applies fixes. Returns compact summary to main context. Spawned by /gsd-debug command.
1 2mo ago A 61 tokens
copy · 95% MIT
gsd-debugger
08Agent
Investigates bugs using scientific method, manages debug sessions, handles checkpoints. Spawned by /gsd-debug orchestrator.
1 2mo ago A 29 tokens
copy · 98% MIT
Agent
Classifies a single planning document as ADR, PRD, SPEC, DOC, or UNKNOWN. Extracts title, scope summary, and cross-references. Spawned in parallel by /gsd-ingest-docs. Writes a JSON classification file and returns a one-line confirmation.
1 2mo ago A 62 tokens
copy · 92% MIT
Agent
Synthesizes classified planning docs into a single consolidated context. Applies precedence rules, detects cross-ref cycles, enforces LOCKED-vs-LOCKED hard-blocks, and writes INGEST-CONFLICTS.md with three buckets (auto-resolved, competing-variants, unresolved-blockers). Spawned by /gsd-ingest-docs.
1 2mo ago A 77 tokens
copy · 100% MIT
Agent
Verifies factual claims in generated docs against the live codebase. Returns structured JSON per doc.
1 2mo ago B 25 tokens
copy · 89% MIT
Agent
Writes and updates project documentation. Spawned with a docassignment block specifying doc type, mode (create/update/supplement), and project context.
1 2mo ago A 35 tokens
copy · 98% MIT
Agent
Researches the business domain and real-world application context of the AI system being built. Surfaces domain expert evaluation criteria, industry-specific failure modes, regulatory context, and what "good" looks like for practitioners in this field �?before the eval-planner turns it into measurable rubrics. Spawned…
1 2mo ago A 78 tokens
copy · 97% MIT
Agent
Retroactive audit of an implemented AI phase's evaluation coverage. Checks implementation against the AI-SPEC.md evaluation plan. Scores each eval dimension as COVERED/PARTIAL/MISSING. Produces a scored EVAL-REVIEW.md with findings, gaps, and remediation guidance. Spawned by /gsd-eval-review orchestrator.
1 2mo ago A 75 tokens
copy · 84% MIT
Agent
Designs a structured evaluation strategy for an AI phase. Identifies critical failure modes, selects eval dimensions with rubrics, recommends tooling, and specifies the reference dataset. Writes the Evaluation Strategy, Guardrails, and Production Monitoring sections of AI-SPEC.md. Spawned by /gsd-ai-integration-phase…
1 2mo ago A 71 tokens
copy · 97% MIT
gsd-executor
16Agent
Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator or execute-plan command.
1 2mo ago A 36 tokens
original MIT
Agent
Presents an interactive decision matrix to surface the right AI/LLM framework for the user's specific use case. Produces a scored recommendation with rationale. Spawned by /gsd-ai-integration-phase and /gsd-select-framework orchestrators.
1 2mo ago A 54 tokens
copy · 94% MIT
Agent
Verifies cross-phase integration and E2E flows. Checks that phases connect properly and user workflows complete end-to-end.
1 2mo ago A 31 tokens
copy · 88% MIT
Agent
Analyzes codebase and writes structured intel files to .planning/intel/.
1 2mo ago A 22 tokens
copy · 84% MIT
Agent
Fills Nyquist validation gaps by generating tests and verifying coverage for phase requirements.
1 2mo ago A 24 tokens
copy · 83% MIT
Agent
Analyzes codebase for existing patterns and produces PATTERNS.md mapping new files to closest analogs. Read-only codebase analysis spawned by /gsd-plan-phase orchestrator before planning.
1 2mo ago A 44 tokens
copy · 97% MIT
Agent
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd-plan-phase orchestrator.
1 2mo ago A 40 tokens
copy · 91% MIT
Agent
Verifies plans will achieve phase goal before execution. Goal-backward analysis of plan quality. Spawned by /gsd-plan-phase orchestrator.
1 2mo ago A 35 tokens
copy · 88% MIT
gsd-planner
24Agent
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /gsd-plan-phase orchestrator.
1 2mo ago A 33 tokens
copy · 91% MIT