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Create a reusable SkillPack from a successful completed task.
Passed 18 of 23 test cases with the skill, and 9 of 23 without it.
and 10 more in the full report
12 fixed8 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Identify the standard Python script path provided in the skillpack repository used to materialize and validate a new skillpack standard from a manifest.
| Checked | Without skill | With skill |
|---|---|---|
| The script path contains scaffold_skillpack.py. | Missed | Passed |
The instructions your model reads when the skill loads.
Turn a successful task into a reusable SkillPack. Extract the stable workflow, decide what belongs in a local skill versus pack-level prompts, generate the pack structure, and package it only after the workflow is explicit and repeatable.
Reduce the finished task into a clean execution spec:
Ask for missing stable facts or infer only the low-risk pieces.
skills/): reusable procedural knowledge. Keep scripts minimal unless reproducibility depends on exact file generation or repetitive shell steps.scripts/): repeated shell or file-generation logic where reliability matters.references/): detailed schemas, API notes, or conventions that should not bloat SKILL.md.skillpack.json): 1–3 pack-level starter inputs for the UI — not a DAG or state machine. See references/skillpack-format.md for exact pack semantics.Before writing files, define the pack spec. Prefer one local orchestrator skill plus a small number of external skills. Example minimal manifest:
{
"name": "company-research",
"description": "Research a company and produce a summary report",
"version": "1.0.0",
"prompts": ["Research {company} and create a report with financials and competitors"],
"skills": [
{ "name": "research-orchestrator", "source": "./skills/research-orchestrator", "description": "Orchestrate company research across multiple sources" }
]
}
test cases passed, vs 9 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.