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Post-decomposition skill router for terminal coding agents. After decomposing a task, route each execution unit to the best SKILL.md workflow and surface missing useful skills.
Passed 9 of 14 test cases with the skill, and 8 of 14 without it.
2 fixed12 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have four tasks: 'build container', 'run linter', 'generate docs', and 'upload artifact'. Route all four in a single shell invocation without saving review audit logs.
| Checked | Without skill | With skill |
|---|---|---|
| The command uses printf piped into task-skill-router --batch | Missed | Passed |
| The command omits the --record flag | Passed | Passed |
The instructions your model reads when the skill loads.
Use this after understanding the user's request and decomposing it into concrete execution tasks.
The goal is simple: do not guess which slash command, workflow, or skill should
handle each subtask. Plan first, route each execution unit, then load the right
SKILL.md.
For one task:
task-skill-router "<decomposed execution task>"
For multiple tasks:
printf '%s\n' \
"<task 1>" \
"<task 2>" \
"<task 3>" \
| task-skill-router --batch
To record recommendations for later hit-rate review:
printf '%s\n' \
"<task 1>" \
"<task 2>" \
"<task 3>" \
test cases passed, vs 8 / 14 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.