dispatching-work
Skill5 starsChanged 53 days agoMITView on GitHub
Use to launch, track, list, or wrap up a resolved app-rooted dispatch.
In this repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-feedbackSkill
- asking-peer-agentsSkill
- boss-assistantSkill
- boss-saySkill
- bringing-coworkerSkill
- choosing-graphSkill
- contacting-orchestratorsSkill
- create-great-harnessSkill
- handoff-orchestratorSkill
- i-am-orchestratorSkill
- initSkill
- notifying-main-agentSkill
- peeking-workSkill
- reporting-to-userSkill
- resolving-appSkill
- shipping-taskSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Leave out the cause, code location, and conventions: target-app discovery and work decisions stay with the worker.
- Very specific: line 26
Run launch-dispatched-agent.py in the foreground until it exits.
- Very specific: line 41
Run roll-call.py (--mine for this session).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Prepare the dispatch
Confirm herdr status and the $HERDR_PANE_ID live record.
Resolve the worker setup, register through contacting-orchestrators, and record this session's fingerprint.
Team-mode cwd: shipping-task.
Write the brief
About 300 words:
- The work -- per item the current symptom and required behavior, the user's exclusions, and any input, path, or port the worker cannot reach itself. Earlier findings are evidence references.
- The anchor and who exercises it -- the anchor, what it observes, and whether the worker runs its own checkpoint or hands its evidence to a shared one. The worker and user choose the verification method inside that anchor.
- Its place and motive -- where the task sits and why.
Leave out the cause, code location, and conventions: target-app discovery and work decisions stay with the worker. Name a method skill only on the user's request.
Apply choosing-graph if graph and anchor are unset. A shared-checkpoint task passes --shared-checkpoint; its checkpoint task gets a review-only brief of each covered task's requirement and evidence.
Then write the instruction.
Launch
Run launch-dispatched-agent.py in the foreground until it exits. Require confirmed: true, else follow its repair command or When a launch fails.
Handle events
Persisted status drives the lifecycle (plans: the status watcher).
awaiting-main-agent: answer withreply-to-worker.py(verified fact or coordinator result); route a work decision to the user.awaiting-user-input/awaiting-authorization: point the user to the worker pane; only--intent informstays open. Retain the task and its slot.done/failed/cancelled: check same-task continuation, wrap up, and return the result to the scheduler.- Feature-branch push FYI: relay it; status stays as recorded.
Redirect, cancel, and identity repair hold the other commands.
List outstanding dispatches
Run roll-call.py (--mine for this session). Resolve an unattributed pane's ownership before acting.
Wrap up
- Require terminal status; if the pane is closed or a live worker's report is refused, recover it. A never-launched instruction needs no status.
- For a landed programming change, settle choosing-graph's review checkpoint first.
- Close only the terminal worker's pane (the coordinator pane and shared tab stay open) and release every remaining lock.
- Archive with
wrap-up-task.py --app <app> --slug <slug> [--plan <plan-slug> --task-id <task-id>], then run any step itsremaining_stepsnames.
Complete when: the dispatch awaits its next event, or is terminal, reviewed, closed, unlocked, and archived.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

