Orchestrates deep research across web, codebase, and documentation using parallel sub-agents. Returns a structured report with findings, sources, and recommendations.
From generalnpx claudepluginhub bobmaertz/prompt-library --plugin generalThis skill is limited to using the following tools:
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Coordinates parallel research sub-agents to produce thorough, sourced findings on any technical topic.
Invoke this skill when you need information that spans multiple sources or domains:
/skill:research <query>
Or invoke within a task by asking Claude to "research [topic] using the research skill."
The skill spins up specialized sub-agents for each research mode relevant to the query:
WebSearch and WebFetchGrep, Glob, and Read## Research Report: <topic>
### Summary
High-level answer to the research question.
### Findings by Source
#### Web Sources
- [Source Title](url): Key finding
#### Codebase
- `path/to/file.ts:42` — description of what's there
#### Documentation
- [Official Docs](url): Relevant excerpt
### Synthesis
Integrated answer drawing from all sources.
### Sources
Complete list of all URLs and file references used.
### Next Steps
Recommended actions based on findings.
Sub-agents run in parallel by default. To run sequentially (e.g., when codebase findings should inform web research), specify in your prompt:
Research X sequentially: first check the codebase, then search the web for best practices.
Read before reporting