agent-health
01Command
Agent system health check — audit Claude Code config, agent harness, context budget, autonomous loops, and workspace surfaces. Produces a prioritized remediation plan.
a minimal version made from everything-claude-code for go/python project
Command
Agent system health check — audit Claude Code config, agent harness, context budget, autonomous loops, and workspace surfaces. Produces a prioritized remediation plan.
Command
Fix build, compile, lint, and type errors across Go, Python, PyTorch, and other stacks. Detects language automatically and delegates to the appropriate resolver agent.
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Build a full RAG knowledge base for the current repository. Scans all source code and generates .rag/ with layered docs (L0→L3), API contracts, ADR index, and GraphRAG knowledge graph. For small repos, runs fully automatically. For large/monorepo repos, use --large to enable multi-stage, checkpoint-resumable…
Command
Create, verify, or list workflow checkpoints after running verification checks.
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Database work — schema design, migration authoring, query optimization, and data-layer review across PostgreSQL, MySQL, and Redis. Delegates to database-reviewer agent.
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Architecture and API design — evaluate trade-offs with a four-voice council, apply hexagonal/backend patterns, design REST APIs, and record decisions as ADRs.
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Performance and error diagnosis — profile slow paths, detect silent failures, resolve build/runtime errors, and produce a root-cause report with fixes.
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Review and apply an evidence-backed documentation approval bundle, then revalidate affected Claims and Findings.
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Validate, rebuild, or query the disposable SQLite index for an evidence-backed documentation store.
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Revalidate evidence-backed documentation incrementally or fully, with mandatory runtime capability preflight and explicit degradation.
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Build an auditable static and runtime mapping from documentation Claims to pinned Evidence, using healthy profile-declared providers without overstating online state.
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Plan, validate, apply, inspect, or roll back an approval-gated evidence-backed knowledge publication.
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Compile validated evidence ledgers into a reviewable knowledge bundle and mandatory Agent Context Pack using a Domain Profile and Knowledge Blueprint.
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Inspect GG plugin install health and report missing or corrupted component files.
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Analyze instincts and suggest or generate evolved structures.
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Codebase exploration and onboarding — map architecture, trace execution paths, scan assets, look up library docs, and produce a concise orientation report.
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Feature kickoff — research existing solutions, explore the codebase, plan implementation, and produce an architecture blueprint before writing any code.
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Run a generator/evaluator build loop for implementation tasks with bounded iterations and scoring.
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Run a generator/evaluator design loop for frontend or visual work with bounded iterations and scoring.