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Spec Writing · athola | DecimalAI

documentationby athola

Spec Writing

athola/spec-writing

Source athola/claude-night-market ↗License MIT

Creates clear, testable specifications from feature descriptions with user stories.

SkillScore64Maintained

Automatic

Product Management pack

Last verified 8/21/2026

What it changes

Passed 14 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill64%

Checks it passed that the model alone missed

User scenarios explicitly specify user roles and step-by-step interactions.
The specification contains an explicit section dedicated to Success Criteria.
The specification avoids defining success through internal database or cache metrics.

and 5 more in the full report

7 fixed7 passed either way5 still failing3 broke

Pass-rate lift: +18 pp
Tokens: -3%
Agent turns: 0%
Response time: -17%

Model gemini-3.6-flashMeasured 8/21/2026v114 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/athola-spec-writing/SKILL.md https://app.decimal.ai/s/athola-spec-writing/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add athola-spec-writing, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/athola-spec-writing/ and pins it in .decimal/skills.lock

decimalai skills add athola-spec-writing

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/athola-spec-writing/SKILL.md https://app.decimal.ai/s/athola-spec-writing/SKILL.md

Raw file: /s/athola-spec-writing/SKILL.md ↗ · machine-readable summary at /s/athola-spec-writing.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

Here is a rough sketch for a multi-file batch upload tool for our enterprise portal: account admins should be able to upload dozens of PDFs at once, track progress, and get notified on completion. Please generate a formal specification document with clear user flows, functional requirements, and testable validation criteria.

What was checked, without and with the skill
Checked	Without skill	With skill
The specification contains an explicit section dedicated to Success Criteria.	Missed	Passed
Functional requirements avoid mandating technical choices like specific cloud storage services or hash algorithms unless identified as constraints.	Passed	Passed
Success criteria are expressed using end-user outcome metrics rather than internal system execution metrics.	Missed	Passed

case-01 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md86 linessingle file

Spec Writing

Overview

Create clear, complete, and testable specifications from natural language feature descriptions. Specifications focus on user value and business needs, avoiding implementation details.

When To Use

Creating new feature specifications
Refining existing specifications
Writing user stories and acceptance criteria
Defining success criteria

When NOT To Use

Generating implementation tasks - use task-planning

Core Principles

Focus on user value and business needs rather than implementation details. Avoid specifying technology choices in requirement definitions unless strictly necessary. Ensure every requirement is testable and verifiable with measurable criteria. Limit clarification markers; make informed assumptions based on industry standards and document them explicitly.

Specification Structure

Mandatory Sections

Overview/Context: What problem does this solve?
User Scenarios: Who uses it and how?
Functional Requirements: What must it do?
Success Criteria: How do we know it works?

Optional Sections

Success Criteria (when performance/security critical)
Edge Cases (when special handling needed)
Dependencies (when external systems involved)
Assumptions (when decisions made with incomplete info)

See: modules/specification-structure.md for detailed templates and guidelines

Quality Checklist

No implementation details present

Track record

Benchmark

14 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

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

athola / claude-night-market

plugins/spec-kit/skills/spec-writing/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

a5c-ai/specification-writingWrite feature specifications as requirements and user stories with acceptance criteria, focusing on business value and testable conditions.Close match+32 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Spec Writing

Overview

When To Use

When NOT To Use

Core Principles

Specification Structure

Mandatory Sections

Optional Sections

Quality Checklist

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills