feat: add agent-sort selective install workflow

This commit is contained in:
Affaan Mustafa
2026-04-05 17:36:37 -07:00
parent 3568102064
commit a1e37d7c0d
10 changed files with 473 additions and 18 deletions

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---
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.
origin: ECC
---
# Agent Sort
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.
## When to Use
- A project only needs a subset of ECC and full installs are too noisy
- The repo stack is clear, but nobody wants to hand-curate skills one by one
- A team wants a repeatable install decision backed by grep evidence instead of opinion
- You need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces
- A repo has drifted into the wrong language, rule, or hook set and needs cleanup
## Non-Negotiable Rules
- Use the current repository as the source of truth, not generic preferences
- Every DAILY decision must cite concrete repo evidence
- LIBRARY does not mean "delete"; it means "keep accessible without loading by default"
- Do not install hooks, rules, or scripts that the current repo cannot use
- Prefer ECC-native surfaces; do not introduce a second install system
## Outputs
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
## Classification Model
Use two buckets only:
- `DAILY`
- should load every session for this repo
- strongly matched to the repo's language, framework, workflow, or operator surface
- `LIBRARY`
- useful to retain, but not worth loading by default
- should remain reachable through search, router skill, or selective manual use
## Evidence Sources
Use repo-local evidence before making any classification:
- file extensions
- package managers and lockfiles
- framework configs
- CI and hook configs
- build/test scripts
- imports and dependency manifests
- repo docs that explicitly describe the stack
Useful commands include:
```bash
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
```
## Parallel Review Passes
If parallel subagents are available, split the review into these passes:
1. Agents
- classify `agents/*`
2. Skills
- classify `skills/*`
3. Commands
- classify `commands/*`
4. Rules
- classify `rules/*`
5. Hooks and scripts
- classify hook surfaces, MCP health checks, helper scripts, and OS compatibility
6. Extras
- classify contexts, examples, MCP configs, templates, and guidance docs
If subagents are not available, run the same passes sequentially.
## Core Workflow
### 1. Read the repo
Establish the real stack before classifying anything:
- languages in use
- frameworks in use
- primary package manager
- test stack
- lint/format stack
- deployment/runtime surface
- operator integrations already present
### 2. Build the evidence table
For every candidate surface, record:
- component path
- component type
- proposed bucket
- repo evidence
- short justification
Use this format:
```text
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
```
### 3. Decide DAILY vs LIBRARY
Promote to `DAILY` when:
- the repo clearly uses the matching stack
- the component is general enough to help every session
- the repo already depends on the corresponding runtime or workflow
Demote to `LIBRARY` when:
- the component is off-stack
- the repo might need it later, but not every day
- it adds context overhead without immediate relevance
### 4. Build the install plan
Translate the classification into action:
- DAILY skills -> install or keep in `.claude/skills/`
- DAILY commands -> keep as explicit shims only if still useful
- DAILY rules -> install only matching language sets
- DAILY hooks/scripts -> keep only compatible ones
- LIBRARY surfaces -> keep accessible through search or `skill-library`
If the repo already uses selective installs, update that plan instead of creating another system.
### 5. Create the optional library router
If the project wants a searchable library surface, create:
- `.claude/skills/skill-library/SKILL.md`
That router should contain:
- a short explanation of DAILY vs LIBRARY
- grouped trigger keywords
- where the library references live
Do not duplicate every skill body inside the router.
### 6. Verify the result
After the plan is applied, verify:
- every DAILY file exists where expected
- stale language rules were not left active
- incompatible hooks were not installed
- the resulting install actually matches the repo stack
Return a compact report with:
- DAILY count
- LIBRARY count
- removed stale surfaces
- open questions
## Handoffs
If the next step is interactive installation or repair, hand off to:
- `configure-ecc`
If the next step is overlap cleanup or catalog review, hand off to:
- `skill-stocktake`
If the next step is broader context trimming, hand off to:
- `strategic-compact`
## Output Format
Return the result in this order:
```text
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
```

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@@ -1,6 +1,6 @@
# Everything Claude Code (ECC) — Agent Instructions
This is a **production-ready AI coding plugin** providing 39 specialized agents, 178 skills, 72 commands, and automated hook workflows for software development.
This is a **production-ready AI coding plugin** providing 39 specialized agents, 179 skills, 73 commands, and automated hook workflows for software development.
**Version:** 1.10.0
@@ -146,8 +146,8 @@ Troubleshoot failures: check test isolation → verify mocks → fix implementat
```
agents/ — 39 specialized subagents
skills/ — 178 workflow skills and domain knowledge
commands/ — 72 slash commands
skills/ — 179 workflow skills and domain knowledge
commands/ — 73 slash commands
hooks/ — Trigger-based automations
rules/ — Always-follow guidelines (common + per-language)
scripts/ — Cross-platform Node.js utilities

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@@ -236,7 +236,7 @@ For manual install instructions see the README in the `rules/` folder. When copy
/plugin list ecc@ecc
```
**That's it!** You now have access to 39 agents, 178 skills, and 72 legacy command shims.
**That's it!** You now have access to 39 agents, 179 skills, and 73 legacy command shims.
### Multi-model commands require additional setup
@@ -1153,8 +1153,8 @@ The configuration is automatically detected from `.opencode/opencode.json`.
| Feature | Claude Code | OpenCode | Status |
|---------|-------------|----------|--------|
| Agents | PASS: 39 agents | PASS: 12 agents | **Claude Code leads** |
| Commands | PASS: 72 commands | PASS: 31 commands | **Claude Code leads** |
| Skills | PASS: 178 skills | PASS: 37 skills | **Claude Code leads** |
| Commands | PASS: 73 commands | PASS: 31 commands | **Claude Code leads** |
| Skills | PASS: 179 skills | PASS: 37 skills | **Claude Code leads** |
| Hooks | PASS: 8 event types | PASS: 11 events | **OpenCode has more!** |
| Rules | PASS: 29 rules | PASS: 13 instructions | **Claude Code leads** |
| MCP Servers | PASS: 14 servers | PASS: Full | **Full parity** |
@@ -1262,8 +1262,8 @@ ECC is the **first plugin to maximize every major AI coding tool**. Here's how e
| Feature | Claude Code | Cursor IDE | Codex CLI | OpenCode |
|---------|------------|------------|-----------|----------|
| **Agents** | 39 | Shared (AGENTS.md) | Shared (AGENTS.md) | 12 |
| **Commands** | 72 | Shared | Instruction-based | 31 |
| **Skills** | 178 | Shared | 10 (native format) | 37 |
| **Commands** | 73 | Shared | Instruction-based | 31 |
| **Skills** | 179 | Shared | 10 (native format) | 37 |
| **Hook Events** | 8 types | 15 types | None yet | 11 types |
| **Hook Scripts** | 20+ scripts | 16 scripts (DRY adapter) | N/A | Plugin hooks |
| **Rules** | 34 (common + lang) | 34 (YAML frontmatter) | Instruction-based | 13 instructions |

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@@ -106,7 +106,7 @@ cp -r everything-claude-code/rules/perl ~/.claude/rules/
/plugin list ecc@ecc
```
**完成!** 你现在可以使用 39 个代理、178 个技能和 72 个命令。
**完成!** 你现在可以使用 39 个代理、179 个技能和 73 个命令。
### multi-* 命令需要额外配置

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@@ -10,7 +10,7 @@ Public ECC plugin repo for agents, skills, commands, hooks, rules, install surfa
- Default branch: `main`
- Public release surface is aligned at `v1.10.0`
- Public catalog truth is `39` agents, `72` commands, and `163` skills
- Public catalog truth is `39` agents, `73` commands, and `179` skills
- Public plugin slug is now `ecc`; legacy `everything-claude-code` install paths remain supported for compatibility
- Release discussion: `#1272`
- ECC 2.0 exists in-tree and builds, but it is still alpha rather than GA
@@ -158,4 +158,5 @@ Keep this file detailed for only the current sprint, blockers, and next actions.
- 2026-04-05: Continued `#1213` cleanup by removing stale references to the deleted `project-guidelines-example` skill from exported inventory/docs and marking `continuous-learning` v1 as a supported legacy path with an explicit handoff to `continuous-learning-v2`.
- 2026-04-05: Removed the last orphaned localized `project-guidelines-example` docs from `docs/ko-KR` and `docs/zh-CN`. The template now lives only in `docs/examples/project-guidelines-template.md`, which matches the current repo surface and avoids shipping translated docs for a deleted skill.
- 2026-04-05: Added `docs/HERMES-OPENCLAW-MIGRATION.md` as the current public migration guide for issue `#1051`. It reframes Hermes/OpenClaw as source systems to distill from, not the final runtime, and maps scheduler, dispatch, memory, skill, and service layers onto the ECC-native surfaces and ECC 2.0 backlog that already exist.
- 2026-04-05: Landed `skills/agent-sort` and the legacy `/agent-sort` shim from issue `#916` as an ECC-native selective-install workflow. It classifies agents, skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using concrete repo evidence, then hands off installation changes to `configure-ecc` instead of inventing a parallel installer. Catalog truth is now `39` agents, `73` commands, and `179` skills.
- 2026-04-05: Direct-ported the safe README-only `#1285` slice into `main` instead of merging the branch: added a small `Community Projects` section so downstream teams can link public work built on ECC without changing install, security, or runtime surfaces. Rejected `#1286` at review because it adds an external third-party GitHub Action (`hashgraph-online/codex-plugin-scanner`) that does not meet the current supply-chain policy.

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commands/agent-sort.md Normal file
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---
description: Legacy slash-entry shim for the agent-sort skill. Prefer the skill directly.
---
# Agent Sort (Legacy Shim)
Use this only if you still invoke `/agent-sort`. The maintained workflow lives in `skills/agent-sort/SKILL.md`.
## Canonical Surface
- Prefer the `agent-sort` skill directly.
- Keep this file only as a compatibility entry point.
## Arguments
`$ARGUMENTS`
## Delegation
Apply the `agent-sort` skill.
- Classify ECC surfaces with concrete repo evidence.
- Keep the result to DAILY vs LIBRARY.
- If an install change is needed afterward, hand off to `configure-ecc` instead of re-implementing install logic here.

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@@ -1,6 +1,6 @@
# Everything Claude Code (ECC) — 智能体指令
这是一个**生产就绪的 AI 编码插件**,提供 39 个专业代理、178 项技能、72 条命令以及自动化钩子工作流,用于软件开发。
这是一个**生产就绪的 AI 编码插件**,提供 39 个专业代理、179 项技能、73 条命令以及自动化钩子工作流,用于软件开发。
**版本:** 1.10.0
@@ -147,8 +147,8 @@
```
agents/ — 39 个专业子代理
skills/ — 178 个工作流技能和领域知识
commands/ — 72 个斜杠命令
skills/ — 179 个工作流技能和领域知识
commands/ — 73 个斜杠命令
hooks/ — 基于触发的自动化
rules/ — 始终遵循的指导方针(通用 + 每种语言)
scripts/ — 跨平台 Node.js 实用工具

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@@ -209,7 +209,7 @@ npx ecc-install typescript
/plugin list ecc@ecc
```
**搞定!** 你现在可以使用 39 个智能体、178 项技能和 72 个命令了。
**搞定!** 你现在可以使用 39 个智能体、179 项技能和 73 个命令了。
***
@@ -1095,8 +1095,8 @@ opencode
| 功能特性 | Claude Code | OpenCode | 状态 |
|---------|-------------|----------|--------|
| 智能体 | PASS: 39 个 | PASS: 12 个 | **Claude Code 领先** |
| 命令 | PASS: 72 个 | PASS: 31 个 | **Claude Code 领先** |
| 技能 | PASS: 178 项 | PASS: 37 项 | **Claude Code 领先** |
| 命令 | PASS: 73 个 | PASS: 31 个 | **Claude Code 领先** |
| 技能 | PASS: 179 项 | PASS: 37 项 | **Claude Code 领先** |
| 钩子 | PASS: 8 种事件类型 | PASS: 11 种事件 | **OpenCode 更多!** |
| 规则 | PASS: 29 条 | PASS: 13 条指令 | **Claude Code 领先** |
| MCP 服务器 | PASS: 14 个 | PASS: 完整 | **完全对等** |
@@ -1207,8 +1207,8 @@ ECC 是**第一个最大化利用每个主要 AI 编码工具的插件**。以
| 功能特性 | Claude Code | Cursor IDE | Codex CLI | OpenCode |
|---------|------------|------------|-----------|----------|
| **智能体** | 39 | 共享 (AGENTS.md) | 共享 (AGENTS.md) | 12 |
| **命令** | 72 | 共享 | 基于指令 | 31 |
| **技能** | 178 | 共享 | 10 (原生格式) | 37 |
| **命令** | 73 | 共享 | 基于指令 | 31 |
| **技能** | 179 | 共享 | 10 (原生格式) | 37 |
| **钩子事件** | 8 种类型 | 15 种类型 | 暂无 | 11 种类型 |
| **钩子脚本** | 20+ 个脚本 | 16 个脚本 (DRY 适配器) | N/A | 插件钩子 |
| **规则** | 34 (通用 + 语言) | 34 (YAML 前页) | 基于指令 | 13 条指令 |

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@@ -198,6 +198,7 @@
"kind": "skills",
"description": "Evaluation, TDD, verification, learning, and compaction skills.",
"paths": [
"skills/agent-sort",
"skills/ai-regression-testing",
"skills/configure-ecc",
"skills/code-tour",

215
skills/agent-sort/SKILL.md Normal file
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@@ -0,0 +1,215 @@
---
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.
origin: ECC
---
# Agent Sort
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.
## When to Use
- A project only needs a subset of ECC and full installs are too noisy
- The repo stack is clear, but nobody wants to hand-curate skills one by one
- A team wants a repeatable install decision backed by grep evidence instead of opinion
- You need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces
- A repo has drifted into the wrong language, rule, or hook set and needs cleanup
## Non-Negotiable Rules
- Use the current repository as the source of truth, not generic preferences
- Every DAILY decision must cite concrete repo evidence
- LIBRARY does not mean "delete"; it means "keep accessible without loading by default"
- Do not install hooks, rules, or scripts that the current repo cannot use
- Prefer ECC-native surfaces; do not introduce a second install system
## Outputs
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
## Classification Model
Use two buckets only:
- `DAILY`
- should load every session for this repo
- strongly matched to the repo's language, framework, workflow, or operator surface
- `LIBRARY`
- useful to retain, but not worth loading by default
- should remain reachable through search, router skill, or selective manual use
## Evidence Sources
Use repo-local evidence before making any classification:
- file extensions
- package managers and lockfiles
- framework configs
- CI and hook configs
- build/test scripts
- imports and dependency manifests
- repo docs that explicitly describe the stack
Useful commands include:
```bash
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
```
## Parallel Review Passes
If parallel subagents are available, split the review into these passes:
1. Agents
- classify `agents/*`
2. Skills
- classify `skills/*`
3. Commands
- classify `commands/*`
4. Rules
- classify `rules/*`
5. Hooks and scripts
- classify hook surfaces, MCP health checks, helper scripts, and OS compatibility
6. Extras
- classify contexts, examples, MCP configs, templates, and guidance docs
If subagents are not available, run the same passes sequentially.
## Core Workflow
### 1. Read the repo
Establish the real stack before classifying anything:
- languages in use
- frameworks in use
- primary package manager
- test stack
- lint/format stack
- deployment/runtime surface
- operator integrations already present
### 2. Build the evidence table
For every candidate surface, record:
- component path
- component type
- proposed bucket
- repo evidence
- short justification
Use this format:
```text
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
```
### 3. Decide DAILY vs LIBRARY
Promote to `DAILY` when:
- the repo clearly uses the matching stack
- the component is general enough to help every session
- the repo already depends on the corresponding runtime or workflow
Demote to `LIBRARY` when:
- the component is off-stack
- the repo might need it later, but not every day
- it adds context overhead without immediate relevance
### 4. Build the install plan
Translate the classification into action:
- DAILY skills -> install or keep in `.claude/skills/`
- DAILY commands -> keep as explicit shims only if still useful
- DAILY rules -> install only matching language sets
- DAILY hooks/scripts -> keep only compatible ones
- LIBRARY surfaces -> keep accessible through search or `skill-library`
If the repo already uses selective installs, update that plan instead of creating another system.
### 5. Create the optional library router
If the project wants a searchable library surface, create:
- `.claude/skills/skill-library/SKILL.md`
That router should contain:
- a short explanation of DAILY vs LIBRARY
- grouped trigger keywords
- where the library references live
Do not duplicate every skill body inside the router.
### 6. Verify the result
After the plan is applied, verify:
- every DAILY file exists where expected
- stale language rules were not left active
- incompatible hooks were not installed
- the resulting install actually matches the repo stack
Return a compact report with:
- DAILY count
- LIBRARY count
- removed stale surfaces
- open questions
## Handoffs
If the next step is interactive installation or repair, hand off to:
- `configure-ecc`
If the next step is overlap cleanup or catalog review, hand off to:
- `skill-stocktake`
If the next step is broader context trimming, hand off to:
- `strategic-compact`
## Output Format
Return the result in this order:
```text
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
```