research-orchestration
Research Orchestration dispatches 5 to 10 concurrent research agents to investigate multi-source queries across codebase files, documentation, and configurations simultaneously. Use this skill for comprehensive analysis of complex topics, unfamiliar codebase sections, or before creating specifications, achieving up to 90% faster results than sequential research through parallel execution with synthesis and validation.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/research-orchestration && cp -r /tmp/research-orchestration/library/methodologies/claudekit/skills/research-orchestration ~/.claude/skills/research-orchestrationSKILL.md
## Process Flow 1. **Plan**: Decompose query into independent sub-queries 2. **Dispatch**: Run 5-10 research agents in parallel 3. **Synthesize**: Merge findings, identify consensus and conflicts 4. **Validate**: Cross-reference against codebase for accuracy ## Sources - Codebase: source files, patterns, implementations - Documentation: README, JSDoc, inline comments - Configuration: package.json, tsconfig, CI/CD configs ## Confidence Scoring Overall confidence is a weighted average of individual agent confidence scores, adjusted by validation results. Below 70% triggers human review. ## When to Use - `/research [query]` slash command - Before specification creation - When investigating unfamiliar parts of the codebase ## Processes Used By - `claudekit-research` (primary consumer)
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.