dark-alex-17/coyote/parallel-research
Claude Code and agent skill by dark-alex-17/coyote
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Checking that the SKILL.md file is still in the repository.
Fan-out exploration protocol — fire multiple research agents in parallel, wait for completion notifications, and never duplicate delegated work.
Install
npx vskill@latest install dark-alex-17/coyote/parallel-researchSKILL.md
You are entering a research phase. Exploration is parallelizable; serial reads leave throughput on the table.
Fan out, don't read serially
For any non-trivial codebase question, fire 2-5 explore agents in parallel, each scoped to a different angle:
- Auth implementation? → one for routes, one for middleware, one for token handling, one for error response shape.
- Bug investigation? → one for the failing path, one for similar working paths, one for recent changes near the area.
Each agent gets a NARROW slice. Narrow scope = fast, focused result. Broad scope = the agent over-reads and returns a wall of text.
The wait protocol
After spawning background agents:
- If you have non-overlapping work to do (work that doesn't depend on the delegated research), do it now.
- If you don't, end your response. Do not call
agent__collectimmediately — the agent is still running. - The system notifies you when the agent completes (
pending_escalationsor completion event). - On notification, call
agent__collectto retrieve results.
Polling agent__collect on a still-running agent blocks your turn for nothing.
Anti-duplication rule (BLOCKING)
Once you delegate a search to an explore agent, do not perform that same search yourself.
Forbidden:
- After firing
explorefor "auth middleware", runningfs_grepfor "auth middleware" yourself - "Just quickly checking" the same files the delegate is checking
- Re-doing the research while waiting impatiently
Allowed:
- Non-overlapping work in a different module
- Preparation work that doesn't depend on the delegated result
- Ending your response and waiting
Duplicate searches waste tokens, may contradict the delegate, and defeat the point of parallelism.
Team mode (optional): let lanes message each other
Every spawned LLM-loop agent has a built-in mailbox (agent__send_message / agent__check_inbox) — no configuration needed. By default parallel lanes are isolated, and for most bursts that is correct. Turn on team mode when one lane's discovery is likely to CHANGE what another lane should look for:
- Adjacent slices of one system — the routes lane finds the middleware file the token lane
is hunting for.
- Mixed-angle bursts — one lane discovers the project already vendors library X, which
should redirect another lane's search immediately, not after synthesis.
- Long-running lanes where routing a fact through you costs a full collect/re-spawn round
trip.
Skip team mode when lanes are genuinely independent (survey-style sweeps, one-agent-per-module audits). And NEVER wire reviewer lanes together (adversary, code-reviewer, security-reviewer, probe): their verdicts derive value from independence — shared chatter biases them.
Orchestrator protocol
Agent IDs exist only after spawning, so the roster travels as a message:
- Spawn the whole burst as usual.
- Immediately send EVERY lane the roster:
agent__send_message --id <routes-lane-id> --message "Teammate roster: middleware=<id>, tokens=<id>. If you find a specific fact that belongs to a teammate's lane, message them directly; check your inbox after each search round and before finalizing."
- Synthesis is unchanged: every lane still reports its findings back to YOU. Teammate messages
move facts sideways mid-flight; they never replace the final report.
Graph agents (librarian) cannot participate — their nodes have no inbox tools. A fact that affects a graph lane routes through you: collect, then re-spawn or refine that lane's prompt.
Worker rules (for agents that receive a roster)
- A message is one or two sentences of specific fact: file:line, exact symbol/term, verbatim
quote — never chat, status updates, or opinions.
- A teammate's message never broadens YOUR slice: use it to sharpen your own search, or carry
the pointer into your report. Entirely outside your slice → ignore it.
- Check your inbox after each search round and ALWAYS before finalizing — a teammate's fact may
be the search term you were missing.
Stop conditions
Stop searching when:
- The same information appears across multiple sources
- Two search iterations yield no new useful data
- A direct answer was found
- You have enough context to proceed confidently
Over-exploration is as bad as under-exploration. Time spent searching is time not spent shipping.
Parallel + sequential composition
It is fine to fire explore and then oracle when oracle needs the explore results — just sequence them:
- Fire explore(s) in parallel.
- End response, wait for completion.
- Synthesize findings, fire
oraclewith those findings as CONTEXT. - End response, wait for oracle.
- Act on oracle's recommendation.
Don't fire oracle blind to "save a turn" — it will give worse advice.
Anti-patterns
- One huge "explore everything about X" agent → slow, unfocused result
- Serial explores ("wait for first, then fire next") → unnecessary latency
- Firing 8+ parallel agents → diminishing returns, harder to synthesize
- Calling
agent__collectimmediately after spawn → wastes a turn
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingassets/skills/parallel-research/SKILL.md
Popularity
- Repository stars
- 57
- Repository forks
- 2
- 7-day trend score
- 20
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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