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Found 16 Skills
Set up, audit, and maintain repository documentation and instructions for AI agents. Use for repository harness structure, execution-plan support, or diagnosing why an agent missed a repo rule.
DAG-based multi-skill orchestration: Discover, Plan, Validate, Execute. Builds execution graphs for tasks requiring multiple skills in sequence or parallel with dependency resolution and context passing. Use when a task requires 2+ skills chained together, parallel skill execution, or conditional branching between skills. Use for "compose skills", "chain workflow", "multi-skill", or "orchestrate skills". Do NOT use when a single skill can handle the request, or for simple sequential invocation that needs no dependency management.
Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
Decide whether/how to pivot a startup or product and produce a Pivot Decision & Execution Pack (diagnosis, exhaustion check, pivot options map, pivot thesis + metrics, validation plan, execution plan, decision memo). Use for “should we pivot?”, “stuck pre-PMF”, “growth stalled”, “change ICP”, “reposition”, “major strategy reset”.
Optimize SQL queries for performance with indexing strategies, query rewriting, and execution plan analysis. Use when queries are slow, optimizing database performance, or analyzing query execution.
Visualize planned changes before implementation. Use when reviewing plans, comparing before/after architecture, assessing risk, or analyzing execution order and impact.
Use when asked to compare, cross-review, merge, judge, choose, or arbitrate competing plans from multiple agents such as Codex and Claude Code; when given two or more proposed plans, session IDs, transcripts, plan documents, PR descriptions, or pasted strategies; or when the user wants one recommended execution plan after agents review each other's proposals.
Turn an idea or objective into a goal package for /goal. Interviews the user, builds a reviewed fact sheet via Plannotator, then explores the codebase to produce an execution plan.
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
SQL optimization best practices for OceanBase database (MySQL & Oracle modes). Covers query optimization, index usage, execution plan analysis, slow query tuning, and performance optimization techniques. Activates for SQL optimization, query performance, index design, execution plan, slow query, database performance.
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.