From sentinel
Use when facing 2+ independent problems (failing tests in unrelated modules, multiple unrelated bugs, multiple subsystems to investigate) that have no shared state and can be worked on concurrently. Dispatches one fresh subagent per problem domain in parallel. Activates when you would otherwise sequentially debug or implement work that has no dependency between items.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sentinel:dispatching-parallel-agentsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
When you have N independent problems, sequential investigation wastes wall-clock time. Each investigation can happen in its own subagent, in parallel, with no shared state. The orchestrator just dispatches and integrates the results.
When you have N independent problems, sequential investigation wastes wall-clock time. Each investigation can happen in its own subagent, in parallel, with no shared state. The orchestrator just dispatches and integrates the results.
This is different from sentinel-subagent-driven-development (which dispatches subagents sequentially per plan task). The pattern here is fan-out, not pipelined execution.
Required conditions, all of them:
Example fits:
Example misfits:
Auth must be fixed before Sessions — can't parallelize)If you're not sure whether problems are independent: try one investigation first. If fixing it makes others go away, they were related.
Group the problems by what's actually broken. Each domain becomes one subagent.
Domain A: tests/auth/test_session.py → token refresh races
Domain B: tests/billing/test_invoice.py → date formatting bug
Domain C: tests/api/test_rate_limit.py → off-by-one on the limit boundary
Three independent domains. No shared state.
Each subagent gets:
You are investigating ONE failing test file: tests/auth/test_session.py.
Other test files (tests/billing/, tests/api/) are being handled by other
agents in parallel. DO NOT modify any file outside the auth subsystem.
Goal: make tests/auth/test_session.py pass. The current failure is a
token refresh race; you'll need to look at src/auth/session.py and
src/auth/middleware.py.
Report back with:
1. Root cause (one sentence)
2. The diff you made
3. Verification command output (fresh, full)
4. Any patterns or gotchas worth filing in vault/
If you find that the cause spans into billing/ or api/, STOP and tell me.
The parallel dispatch assumed independence; if that's wrong I need to
re-coordinate.
In Claude Code, this means multiple Task tool calls in one assistant turn. They run concurrently. Don't await one before starting the next.
[parallel]
Task("Fix tests/auth/test_session.py")
Task("Fix tests/billing/test_invoice.py")
Task("Fix tests/api/test_rate_limit.py")
When the subagents return:
git status and git diff)Run the full suite, the linter, the type-checker. The Iron Law of sentinel-verification-before-completion applies — fresh evidence in this message before claiming done.
The parallel dispatch assumes independence. When the assumption breaks, you'll see one of these:
| Symptom | Likely cause | Response |
|---|---|---|
| Two subagents both modified the same file | Domains weren't actually independent | Re-coordinate. Don't merge the diffs blindly — they may have made contradictory assumptions. |
| Full test suite fails after all subagents reported success | Cross-domain coupling that didn't show in per-domain tests | Investigate the integration failure as a separate problem (not a problem with any single domain) |
| One subagent reports "the cause is in another domain" | Independence assumption was wrong | Stop, re-scope the dispatch |
| All agents return "no changes needed" or all-trivial fixes | The original problems were related, not independent | Sequential investigation would have been faster; learn for next time |
Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub digistrique-solutions/strique-marketplace --plugin sentinel