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A5c AI/Spec Creation — measured AI agent skill | DecimalAI

a5c-ai/spec-creation

SkillScore27Maintained

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

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-spec-creation

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-spec-creation/SKILL.md

Raw file: /s/a5c-ai-spec-creation/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-spec-creation.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 9d ago

—-4% tokens0% turns27% of whole cases pass with skill (6/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-36%	0%
case-03	✗→✓	▲ Improved	-11%	0%
case-07	✗→✓	▲ Improved	10%	0%
case-15	✗→✓	▲ Improved	7%	0%
case-18	✗→✓	▲ Improved	-36%	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/claudekit/skills/spec-creation/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Identify existing patterns and conventions
Map dependencies and integration points
Review existing tests for testing patterns
Document technical constraints

Specification Components

Scope and Non-Goals

Clear boundaries on what the feature does and does not include.

Functional Requirements

Detailed requirements with unique identifiers for tracking.

Acceptance Criteria

Testable, measurable criteria for each requirement.

Architecture Decisions

Decision records with rationale and alternatives considered.

Implementation Plan

Phased approach ordered by dependency, not priority.

Risk Analysis

Identified risks with probability, impact, and mitigation strategies.

API Contracts and Data Models

Interface definitions and data model schemas.

Test Strategy

Mapping of unit, integration, and E2E tests to requirements.

Output

Specifications are saved to docs/specs/{feature}.md for reference by the execution workflow.

When to Use

/spec:create [feature] slash command
Before starting a new feature implementation
When planning complex multi-module changes

Processes Used By

claudekit-spec-workflow (create mode)

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