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Specification Generation — measured AI agent skill | DecimalAI

a5c-ai/specification-generation

SkillScore73Maintained

Convert requirements into structured technical specifications with architecture decisions

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Product Management pack

decimalai skills pull a5c-ai-specification-generation

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-specification-generation/SKILL.md

Raw file: /s/a5c-ai-specification-generation/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-specification-generation.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 7d ago

—-17% tokens0% turns73% of whole cases pass with skill (16/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-06	✗→✓	▲ Improved	-81%	0%
case-18	✗→✓	▲ Improved	-54%	0%
case-07	✓→✓	＝ Same ✓	-41%	0%
case-04	✓→✓	＝ Same ✓	-11%	0%
case-05	✓→✓	＝ Same ✓	-66%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/methodologies/maestro/skills/specification-generation/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Specification Generation

Capabilities

Transforms requirements from PM interviews into structured technical specifications. Includes technology stack selection, system architecture, data models, API contracts, and architecture decision records (ADRs).

Tool Use Instructions

Use Read to examine requirements documents and existing specs
Use Grep/Glob to find related architectural patterns in the codebase
Use Write to generate the technical specification document
Use Edit to refine specs based on Architect feedback

Process Integration

Used in maestro-orchestrator.js Phase 2-3 (Architect Review, Tech Spec)
Maps to tasks: maestro-pm-spec-generation, maestro-architect-tech-spec
Agents: Product Manager (requirements spec), Architect (technical spec)
Iterates with Architect feedback loop until approved
Outputs feed into story-decomposition skill

Want to see if a5c-ai/specification-generation would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.