tri-dispatch
Skill4 starsChanged 4 months agoMITView on GitHub
Three model tiers (smart + general + fast) each tackle the SAME open-ended task independently, then their divergent approaches are compared — this is the GENERAL-PURPOSE tri-* skill for tasks that don't fit the specialized siblings. Use when the user asks for tri-dispatch, triple dispatch, three-way comparison of model approaches, says "send this to three models and show me their takes", or wants to see divergent solutions before picking one. Worth the extra cost when — the task is exploratory or greenfield (design, architecture, new implementation, optimization), the user wants to compare model strengths on a novel problem, or is deliberately seeking diversity of approach before committing. Do NOT use for code review of existing code (use tri-review), debugging a specific failure (use tri-debug), or security audits (use tri-security). Do NOT use when the user already knows which approach they want — tri-dispatch is for exploration, not execution.
In this repository40 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adrSkill
- auditSkill
- autoloopSkill
- browserSkill
- bugfixSkill
- changelogSkill
- clean-codeSkill
- creating-workflowsSkill
- deep-researchSkill
- doc-genSkill
- dont-reinventSkill
- drySkill
- executingSkill
- featureSkill
- gcliSkill
- harness-auditSkill
- healthSkill
- mega-prSkill
- onboardSkill
- pr-readySkill
- refactorSkill
- researchSkill
- scrapeSkill
- scratchpadSkill
- screenshotSkill
- self-auditSkill
- self-improveSkill
- self-lintSkill
- self-migrateSkill
- self-perfSkill
- self-testSkill
- setup-rulesSkill
- stuckSkill
- test-genSkill
- tri-debugSkill
- tri-reviewSkill
- tri-securitySkill
- yagniSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Use the devkit_start tool with workflow: "tri-dispatch" and input: "{input}".
≈ “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
Tri-Dispatch
Deterministic three-tier task dispatch. smart-take → general-take → fast-take (in parallel) → compare approaches.
Invoke
Use the devkit_start tool with workflow: "tri-dispatch" and input: "{input}".
Then follow each step the engine returns. Call devkit_advance after completing each step. The engine controls step order, gates, and loops. Do NOT skip steps.
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.

