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Get Started Free →Generate a production-ready SKILL.md + tiny examples, evals, and an index entry aligned to Anthropic Skills.
.claude/skills/williamzujkowski-create-a-new-skill-from-topic/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -46% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 6% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 82% | 0% |
Use when a developer specifies a new Skill topic and needs a compliant, token-efficient SKILL.md with a tiny example, tests, and an index entry.
NOW_ET to ISO 8601 in America/New_York using NIST/time.gov semantics. Include NOW_ET in citations’ access dates.NOW_ET).name, slug, ≤160-char description, capabilities, inputs, outputs, keywords, version, owner, license, security, links.Purpose & When-To-Use, Pre-Checks, Procedure (Tiered), Decision Rules, Output Contract, Quality Gates, Resources.index_entry JSON for index/skills-index.json.NOW_ET access dates.resources/ artifacts (schemas/templates) without pasting large texts.tests/evals_<slug>.yaml with 3–5 scenarios (happy path, missing input, edge case).CHANGELOG.md (v1.0.0) and finalize index_entry.needs-input.resources/.skills/<slug>/ containing:SKILL.md (this format)examples/<slug>-example.txt (≤30 lines)resources/ (optional, linked)CHANGELOG.mdindex_entry JSON with: slug, name, summary (≤160 chars), keywords, owner, version, entry.Minimal example (pseudo-code, ≤30 lines):
textINPUT: topic: "OSCAL SSP validator for FedRAMP Moderate" constraints: { "strict": true } OUTPUT (files): skills/compliance-oscal-validator/SKILL.md skills/compliance-oscal-validator/examples/compliance-oscal-validator-example.txt tests/evals_oscal-ssp-validate.yaml index_entry (JSON fragment) INDEX_ENTRY: { "slug": "compliance-oscal-validator", "name": "OSCAL SSP Validator for FedRAMP Moderate", "summary": "Validates OSCAL SSP against FedRAMP Moderate baseline requirements.", "keywords": ["oscal", "ssp", "fedramp", "validation"], "owner": "cognitive-toolworks", "version": "1.0.0", "entry": "skills/compliance-oscal-validator/SKILL.md" }
validate_skill.py.resources/.description ≤160 chars; all required front-matter keys present.NOW_ET).validate_skill.py checks for secret patterns.build_index.py enforces no duplicates.tests/evals_<slug>.yaml; must pass basic sanity checks.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 19,965 | 12,506 | -37% | 1 | 1 | 0% | 4,679 | 4,488 | -4% | 0 | 0 | — |
case-23 | fail→fail | 18,193 | 15,190 | -17% | 1 | 1 | 0% | 4,008 | 4,608 | +15% | 0 | 0 | — |
case-02 | fail→fail | 18,104 | 13,837 | -24% | 1 | 1 | 0% | 4,617 | 4,663 | +1% | 0 | 0 | — |
case-03 | fail→pass | 22,836 | 14,122 | -38% | 1 | 1 | 0% | 5,468 | 4,803 | -12% | 0 | 0 | — |
case-04 | pass→pass | 8,456 | 9,844 | +16% | 1 | 1 | 0% | 1,593 | 3,321 | +108% | 0 | 0 | — |
case-05 | fail→fail | 2,872 | 2,726 | -5% | 1 | 1 | 0% | 585 | 1,753 | +200% | 0 | 0 | — |
case-06 | pass→pass | 5,280 | 3,314 | -37% | 1 | 1 | 0% | 1,316 | 2,075 | +58% | 0 | 0 | — |
case-07 | fail→fail | 7,908 | 9,125 | +15% | 1 | 1 | 0% | 1,587 | 3,439 | +117% | 0 | 0 | — |
case-08 | fail→pass | 33,939 | 4,723 | -86% | 1 | 1 | 0% | 3,658 | 1,976 | -46% | 0 | 0 | — |
case-09 | fail→pass | 22,701 | 21,079 | -7% | 1 | 1 | 0% | 6,195 | 6,543 | +6% | 0 | 0 | — |
case-10 | fail→fail | 17,022 | 17,654 | +4% | 1 | 1 | 0% | 3,764 | 5,308 | +41% | 0 | 0 | — |
case-24 | fail→fail | 14,528 | 11,354 | -22% | 1 | 1 | 0% | 3,297 | 3,730 | +13% | 0 | 0 | — |
case-11 | fail→fail | 10,929 | 12,050 | +10% | 1 | 1 | 0% | 2,217 | 4,015 | +81% | 0 | 0 | — |
case-12 | fail→fail | 24,996 | 18,475 | -26% | 1 | 1 | 0% | 5,543 | 5,342 | -4% | 0 | 0 | — |
case-13 | fail→fail | 14,842 | 23,494 | +58% | 1 | 1 | 0% | 1,578 | 5,207 | +230% | 0 | 0 | — |
case-14 | fail→fail | 20,173 | 16,255 | -19% | 1 | 1 | 0% | 3,988 | 4,703 | +18% | 0 | 0 | — |
case-15 | fail→fail | 18,420 | 15,188 | -18% | 1 | 1 | 0% | 4,172 | 4,992 | +20% | 0 | 0 | — |
case-16 | fail→fail | 23,200 | 19,774 | -15% | 1 | 1 | 0% | 6,172 | 5,459 | -12% | 0 | 0 | — |
case-17 | fail→fail | 17,394 | 12,625 | -27% | 1 | 1 | 0% | 3,199 | 4,263 | +33% | 0 | 0 | — |
case-18 | fail→pass | 26,055 | 17,175 | -34% | 1 | 1 | 0% | 5,874 | 5,651 | -4% | 0 | 0 | — |
case-19 | pass→pass | 5,424 | 7,907 | +46% | 1 | 1 | 0% | 846 | 3,015 | +256% | 0 | 0 | — |
case-20 | fail→fail | 13,577 | 13,270 | -2% | 1 | 1 | 0% | 2,239 | 4,175 | +86% | 0 | 0 | — |
case-21 | fail→pass | 13,397 | 14,618 | +9% | 1 | 1 | 0% | 2,464 | 4,486 | +82% | 0 | 0 | — |
case-22 | fail→fail | 9,692 | 22,315 | +130% | 1 | 1 | 0% | 1,840 | 6,810 | +270% | 0 | 0 | — |
case-25 | fail→pass | 7,087 | 18,543 | +162% | 1 | 1 | 0% | 1,395 | 5,657 | +306% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted. The headline lift of +24 percentage points is the difference between those two pass rates over the 25 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.