Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Generate workspace docs.
.claude/skills/griddynamics-init-workspace-documentation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -22% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -9% | 0% |
| case-14 | ✓→✗ | ▼ Worse | 98% | 0% |
<init_workspace_documentation>
<role> Senior technical writer — recovers intent from code, not transcribes implementation. </role>
<when_to_use_skill> Workspaces lack structured documentation, forcing every session to re-discover facts and repeat mistakes. This skill creates five foundational docs from source code analysis. Proof: all five docs exist, are non-empty, complementary, and track unknowns. </when_to_use_skill>
<core_concepts>
reverse-engineering/SKILL.md FROM KB and EXECUTE for domain extraction</core_concepts>
<process>
CONTEXT.md:
ARCHITECTURE.md:
IMPLEMENTATION.md:
ASSUMPTIONS.md:
TODO.md:
AGENT MEMORY.md:
README.md:
memory/constitution.md and specs folder exist, add "MUST ACQUIRE speckit-integration-policy.md FROM KB and execute it" to CONTEXT.mdlarge-workspace-handling" to CONTEXT.md</process>
<validation_checklist>
</validation_checklist>
<templates>
markdown# AGENT MEMORY Generalized reusable lessons from agent sessions. Root causes converted into preventive rules, not incident-specific notes. Entries are h3 headers with [ACTIVE|RETIRED] status. Content: brief, grep-friendly, MECE across sections. Style: one-liner per entry, optional sub-bullets for context. Keep template entries so that AI knows how to fill them in later on. ## Preventive Rules ### <Generalized Preventive Rule> [ACTIVE|RETIRED] [Root cause, Reasons, Problems] ## What Worked ### <Generalized What Worked> [ACTIVE|RETIRED] [Root cause, Reasons, Problems] ## What Failed ### <Generalized What Failed> [ACTIVE|RETIRED] [Hypothesis, Root cause, Reasons, Problems] ## Discoveries ### <Generalized Discovery> [ACTIVE|RETIRED] [Usage, Reasons, Problems]
</templates>
</init_workspace_documentation>
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 35,011 | 3,209 | -91% | 1 | 1 | 0% | 1,030 | 1,388 | +35% | 0 | 0 | — |
case-02 | fail→fail | 4,087 | 4,964 | +21% | 1 | 1 | 0% | 178 | 1,449 | +714% | 0 | 0 | — |
case-03 | fail→fail | 18,362 | 3,994 | -78% | 1 | 1 | 0% | 3,123 | 1,387 | -56% | 0 | 0 | — |
case-04 | fail→pass | 13,696 | 5,823 | -57% | 1 | 1 | 0% | 1,995 | 2,193 | +10% | 0 | 0 | — |
case-05 | fail→fail | 13,961 | 5,472 | -61% | 1 | 1 | 0% | 1,991 | 2,071 | +4% | 0 | 0 | — |
case-11 | pass→pass | 14,873 | 14,571 | -2% | 1 | 1 | 0% | 2,358 | 3,991 | +69% | 0 | 0 | — |
case-06 | pass→pass | 9,241 | 2,579 | -72% | 1 | 1 | 0% | 1,459 | 1,573 | +8% | 0 | 0 | — |
case-07 | fail→pass | 15,191 | 4,531 | -70% | 1 | 1 | 0% | 2,454 | 1,910 | -22% | 0 | 0 | — |
case-08 | fail→pass | 10,711 | 3,563 | -67% | 1 | 1 | 0% | 1,649 | 1,643 | -0% | 0 | 0 | — |
case-09 | fail→fail | 12,517 | 2,623 | -79% | 1 | 1 | 0% | 2,034 | 1,615 | -21% | 0 | 0 | — |
case-10 | fail→pass | 13,397 | 4,730 | -65% | 1 | 1 | 0% | 2,121 | 1,928 | -9% | 0 | 0 | — |
case-12 | pass→pass | 10,198 | 2,635 | -74% | 1 | 1 | 0% | 1,525 | 1,648 | +8% | 0 | 0 | — |
case-13 | fail→fail | 6,875 | 1,562 | -77% | 1 | 1 | 0% | 1,026 | 1,409 | +37% | 0 | 0 | — |
case-14 | pass→fail | 6,099 | 3,121 | -49% | 1 | 1 | 0% | 841 | 1,664 | +98% | 0 | 0 | — |
case-15 | pass→pass | 19,025 | 7,679 | -60% | 1 | 1 | 0% | 2,763 | 2,377 | -14% | 0 | 0 | — |
case-16 | fail→fail | 9,711 | 4,321 | -56% | 1 | 1 | 0% | 1,482 | 1,892 | +28% | 0 | 0 | — |
case-17 | pass→pass | 8,590 | 3,155 | -63% | 1 | 1 | 0% | 1,186 | 1,658 | +40% | 0 | 0 | — |
case-18 | pass→pass | 12,871 | 4,089 | -68% | 1 | 1 | 0% | 1,960 | 1,828 | -7% | 0 | 0 | — |
case-19 | pass→pass | 14,542 | 11,101 | -24% | 1 | 1 | 0% | 2,162 | 2,922 | +35% | 0 | 0 | — |
case-20 | fail→fail | 3,676 | 4,068 | +11% | 1 | 1 | 0% | 513 | 1,832 | +257% | 0 | 0 | — |
case-21 | pass→pass | 12,485 | 6,013 | -52% | 1 | 1 | 0% | 2,007 | 2,174 | +8% | 0 | 0 | — |
case-22 | fail→fail | 18,253 | 6,020 | -67% | 1 | 1 | 0% | 3,916 | 1,525 | -61% | 0 | 0 | — |
case-23 | fail→fail | 9,188 | 6,041 | -34% | 1 | 1 | 0% | 1,519 | 1,542 | +2% | 0 | 0 | — |
case-24 | fail→fail | 30,690 | 6,093 | -80% | 1 | 1 | 0% | 5,241 | 1,591 | -70% | 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. 24 cases were attempted, and 18 counted toward the lift figure. The other 6 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +13 percentage points is the difference between those two pass rates over the 18 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.