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Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when…
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full
$ npx -y skills add affaan-m/everything-claude-code --skill agent-sort --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/agent-sortContext preview
The summary Claude sees to decide when to auto-load this skill.
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full
name: agent-sort description: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle. metadata: origin: ECC
Use this skill when a repo needs a project-specific ECC surface instead of the default full install.
The goal is not to guess what "feels useful." The goal is to classify ECC components with evidence from the actual codebase.
Produce these artifacts in order:
1. DAILY inventory 2. LIBRARY inventory 3. install plan 4. verification report 5. optional `skill-library` router if the project wants one
Use two buckets only:
Use repo-local evidence before making any classification:
Useful commands include:
rg --files rg -n "typescript|react|next|supabase|django|spring|flutter|swift" cat package.json cat pyproject.toml cat Cargo.toml cat pubspec.yaml cat go.mod
If parallel subagents are available, split the review into these passes:
1. Agents
2. Skills
3. Commands
4. Rules
5. Hooks and scripts
6. Extras
If subagents are not available, run the same passes sequentially.
Establish the real stack before classifying anything:
For every candidate surface, record:
Use this format:
skills/frontend-patterns | skill | DAILY | 84 .tsx files, next.config.ts present | core frontend stack skills/django-patterns | skill | LIBRARY | no .py files, no pyproject.toml | not active in this repo rules/typescript/* | rules | DAILY | package.json + tsconfig.json | active TS repo rules/python/* | rules | LIBRARY | zero Python source files | keep accessible only
Promote to `DAILY` when:
Demote to `LIBRARY` when:
Translate the classification into action:
If the repo already uses selective installs, update that plan instead of creating another system.
If the project wants a searchable library surface, create:
That router should contain:
Do not duplicate every skill body inside the router.
After the plan is applied, verify:
Return a compact report with:
If the next step is interactive installation or repair, hand off to:
If the next step is overlap cleanup or catalog review, hand off to:
If the next step is broader context trimming, hand off to:
Return the result in this order:
STACK - language/framework/runtime summary DAILY - always-loaded items with evidence LIBRARY - searchable/reference items with evidence INSTALL PLAN - what should be installed, removed, or routed VERIFICATION - checks run and remaining gaps
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/everything-claude-code
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