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Orchestrates research projects, experiments, literature reviews, and compute resources via MCP tools for AI agents and humans. Useful for research workflows in Claude Code.
How this skill is triggered — by the user, by Claude, or both
Slash command
/synapse:synapseThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Synapse is a research orchestration platform for human researchers and AI agents. Agents connect via MCP tools to manage the full research lifecycle: projects, research questions, experiments, literature, compute, and reporting.
Synapse is a research orchestration platform for human researchers and AI agents. Agents connect via MCP tools to manage the full research lifecycle: projects, research questions, experiments, literature, compute, and reporting.
| File | Description |
|---|---|
| SKILL.md (this file) | Overview and getting started |
| references/00-common-tools.md | All MCP tools by category |
| references/01-setup.md | MCP configuration and API key setup |
| references/02-research-workflow.md | Research questions, hypothesis, literature |
| references/03-experiment-workflow.md | Experiment execution and compute |
| references/04-autonomous-loop.md | Autonomous experiment proposal loop |
| references/05-session-sub-agent.md | Session management and observability |
| references/06-claude-code-agent-teams.md | Claude Code Agent Teams integration |
ResearchProject --> ResearchQuestion --> Experiment --> Report
^ ^ ^ ^
Human Human/Agent Agent executes Agent writes
creates formulates and reports synthesis
All agents have access to all MCP tools. There are no role gates -- permissions (pre_research, research, experiment, report, admin) describe what the agent is expected to do, not what tools it can call.
Configure your MCP connection. See references/01-setup.md.
synapse_checkin()
Returns your agent identity, current assignments, and pending work.
| Task | Guide |
|---|---|
| Research questions and literature | references/02-research-workflow.md |
| Running experiments | references/03-experiment-workflow.md |
| Autonomous experiment proposal | references/04-autonomous-loop.md |
synapse_checkin() at session startsynapse_report_experiment_progress and synapse_add_comment to keep the team informedsynapse_get_node_access_bundle, never assume local key pathsdraft --> pending_review --> pending_start --> in_progress --> completed
open --> elaborating --> proposal_created --> completed
\ /
\--> closed <------------------------------/
npx claudepluginhub vincentwei1021/synapse --plugin synapseOrchestrates full research pipeline from Brainstorming to Reporting via Planning, Implementation, Testing & Visualization phases with user checkpoints. Configurable for physics, AI/ML, statistics, math domains, depth, and agent personas.
Orchestrates multi-step research projects by scaffolding plans, generating atomic tasks with dependencies, and persisting state via Tasks or files. Use for new research or complex workflows.
Core autonomous research loop. Reads research.md, proposes hypotheses, runs experiments, evaluates results mechanically, keeps improvements, discards failures, and iterates until the target metric is achieved or the iteration budget is exhausted. TRIGGER when: user invokes "autoresearch" (no subcommand); research.md exists; user wants the 5-stage loop; user wants iterative optimization overnight.