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A5c AI/Writing Plans — measured AI agent skill | DecimalAI

a5c-ai/writing-plans

SkillScore78Maintained

Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.

by a5c-ai

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

Automatic

Coding pack

decimalai skills pull a5c-ai-writing-plans

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-writing-plans/SKILL.md

Raw file: /s/a5c-ai-writing-plans/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-writing-plans.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

23 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

Yes — +48% lift-24% tokens0% turns78% of whole cases pass with skill (18/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-03	✗→✓	▲ Improved	15%	0%
case-04	✗→✓	▲ Improved	-42%	0%
case-08	✗→✓	▲ Improved	-58%	0%
case-09	✗→✓	▲ Improved	-61%	0%
case-10	✗→✓	▲ Improved	-72%	0%

Showing 5 of 23 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/superpowers/skills/writing-plans/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

When you have specs/requirements for multi-step work
Before any implementation begins

Task Structure

Each task follows: Write failing test -> Verify fail -> Implement minimal code -> Verify pass -> Commit

Plan Format

Header: Goal, Architecture, Tech Stack
Tasks with exact file paths and complete code
TDD steps with expected output
Task persistence via .tasks.json

Execution Handoff

After plan is written, choose:

Subagent-Driven - Fresh agent per task with two-stage review
Batch Execution - Execute in batches with human checkpoints

Agents Used

Process agents defined in writing-plans.js

Tool Use

Invoke via babysitter process: methodologies/superpowers/writing-plans

Want to see if a5c-ai/writing-plans 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.