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

a5c-ai/executing-plans

SkillScore60Maintained

Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.

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-executing-plans

Get this skill — curl · raw file

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

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

25 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

Yes — +40% lift-55% tokens0% turns60% of whole cases pass with skill (15/25)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-05	✗→✓	▲ Improved	-62%	0%
case-09	✗→✓	▲ Improved	-83%	0%
case-11	✗→✓	▲ Improved	-74%	0%
case-12	✗→✓	▲ Improved	-50%	0%
case-15	✗→✓	▲ Improved	-31%	0%

Showing 5 of 25 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/executing-plans/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Executing in a separate/parallel session
Want human checkpoints between task batches

Process

Load persisted tasks (resume support)
Verify/setup worktree
Execute tasks in batches (default 3)
Report after each batch, wait for feedback
Finish branch after all tasks complete

Agents Used

Process agents defined in executing-plans.js
References using-git-worktrees for workspace isolation
References finishing-a-development-branch for completion

Tool Use

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

Want to see if a5c-ai/executing-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.