EasyPlatform skill-optimize

[Skill Management] Optimize an existing agent skill for token efficiency, attention anchoring, and SYNC protocol compliance. Triggers on: optimize skill, improve skill, refactor skill, skill too long.

install

source · Clone the upstream repo

git clone https://github.com/duc01226/EasyPlatform

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/skill-optimize" ~/.claude/skills/duc01226-easyplatform-skill-optimize && rm -rf "$T"

manifest: .claude/skills/skill-optimize/SKILL.md

source content

[IMPORTANT] Use
TaskCreate
to break ALL work into small tasks BEFORE starting.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

AI Mistake Prevention — Failure modes to avoid on every task:

Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.

Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.

Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.

Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.

When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.

Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.

Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.

Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.

Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.

Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

Shared Protocol Duplication Policy — Inline protocol content in skills (wrapped in

) is INTENTIONAL duplication. Do NOT extract, deduplicate, or replace with file references. AI compliance drops significantly when protocols are behind file-read indirection. To update: edit
.claude/skills/shared/sync-inline-versions.md
first, then grep
SYNC:protocol-name
and update all occurrences.

Quick Summary

Goal: Optimize an existing skill for token efficiency, AI attention anchoring, and SYNC protocol compliance.

Workflow:

Analyze — Review structure, line count, SYNC tags, attention anchoring
Check SYNC compliance — Verify protocols are inlined (not file references), tags balanced
Optimize — Apply prompt-enhance principles, move details to references, improve clarity
Enhance — Call
```
/prompt-enhance
```
on the optimized SKILL.md
Validate — Verify skill still works correctly after optimization

Key Rules:

SKILL.md under 500 lines; reference files under 100 lines each
Shared protocols MUST ATTENTION be inlined via
```

```
blocks, NEVER
```
MUST ATTENTION READ shared/
```
references
MUST ATTENTION call
```
/prompt-enhance
```
as final quality pass
Attention structure: SYNC blocks at top, Quick Summary, detailed steps, Closing Reminders with
```
:reminder
```
blocks at bottom

Arguments

SKILL: $1 (default:

) PROMPT: $2 (default: empty)

Your Mission

Optimize skill at

.claude/skills/${SKILL}

directory.

Mode detection:

If arguments contain "auto" or "trust me": Skip plan approval, implement directly.
Otherwise: Propose plan first, ask user to review before implementing.

<additional-instructions>$PROMPT</additional-instructions>

Optimization Checklist

1. Structure Check

Has
```
## Quick Summary
```
(Goal/Workflow/Key Rules) within first 30 lines
Has
```
## Closing Reminders
```
at bottom with
```
:reminder
```
SYNC blocks
SYNC protocol blocks at top (primacy zone)
Critical rules appear in BOTH top and bottom sections (primacy-recency)

2. SYNC Protocol Check

No file references to
```
.claude/skills/shared/
```
— all protocols inlined via SYNC blocks
All SYNC tags balanced (every open has matching close)

Content matches canonical source:

.claude/skills/shared/sync-inline-versions.md

```
:reminder
```
blocks present at bottom for each protocol

3. Token Efficiency Check

SKILL.md under 500 lines (target: under 300)
No filler phrases, redundant explanations, or TOCs
Tables/bullets over prose paragraphs
Examples are minimal (1 per pattern, not verbose)

4. Final Enhancement

Call
```
/prompt-enhance
```
on the finished SKILL.md
Verify no content loss (diff check)
Rule density maintained or improved (count MUST ATTENTION/NEVER/ALWAYS before and after)

Closing Reminders

IMPORTANT MUST ATTENTION break work into small todo tasks using
```
TaskCreate
```
BEFORE starting
IMPORTANT MUST ATTENTION inline shared protocols via
```

```
— NEVER use file references
IMPORTANT MUST ATTENTION call
```
/prompt-enhance
```
on optimized skill as final quality pass
IMPORTANT MUST ATTENTION verify SYNC tag balance and content matches canonical source
IMPORTANT MUST ATTENTION follow duplication policy: inline protocols are INTENTIONAL, never extract to file references
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.