configure-ecc

name	configure-ecc
description	Interactive installer for Everything OpenAI Codex — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
origin	ecc

Configure Everything OpenAI Codex (ecc)

An interactive, step-by-step installation wizard for the Everything OpenAI Codex project. Uses AskUserQuestion to guide users through selective installation of skills and rules, then verifies correctness and offers optimization.

When to Activate

• User says "configure ecc", "install ecc", "setup everything.openai.codex", or similar
• User wants to selectively install skills or rules from this project
• User wants to verify or fix an existing ecc installation
• User wants to optimize installed skills or rules for their project

Prerequisites

This skill must be accessible to OpenAI Codex before activation. Two ways to bootstrap:

1. Via Plugin: /plugin install eoc@eoc — the plugin loads this skill automatically
2. Manual: Copy only this skill to ~/.codex/skills/configure-ecc/SKILL.md, then activate by saying "configure ecc"

---

Step 0: Clone ecc Repository

Before any installation, clone the latest ecc source to /tmp:

rm -rf /tmp/Everything OpenAI Codex
git clone https://github.com/mehmet-turac/everything-openai-codex.git /tmp/Everything OpenAI Codex

Set ecc_ROOT=/tmp/Everything OpenAI Codex as the source for all subsequent copy operations.

If the clone fails (network issues, etc.), use AskUserQuestion to ask the user to provide a local path to an existing ecc clone.

---

Step 1: Choose Installation Level

Use AskUserQuestion to ask the user where to install:

Question: "Where should ecc components be installed?"
Options:
  - "User-level (~/.codex/)" — "Applies to all your OpenAI Codex projects"
  - "Project-level (.codex/)" — "Applies only to the current project"
  - "Both" — "Common/shared items user-level, project-specific items project-level"

Store the choice as INSTALL_LEVEL. Set the target directory:

• User-level: TARGET=~/.codex
• Project-level: TARGET=.codex (relative to current project root)
• Both: TARGET_USER=~/.codex, TARGET_PROJECT=.codex

Create the target directories if they don't exist:

mkdir -p $TARGET/skills $TARGET/rules

---

Step 2: Select & Install Skills

2a: Choose Scope (Core vs Niche)

Default to Core (recommended for new users) — copy .agents/skills/* plus skills/search-first/ for research-first workflows. This bundle covers engineering, evals, verification, security, strategic compaction, frontend design, and OpenAI cross-functional skills (article-writing, content-engine, market-research, frontend-slides).

Use AskUserQuestion (single select):

Question: "Install core skills only, or include niche/framework packs?"
Options:
  - "Core only (recommended)" — "tdd, e2e, evals, verification, research-first, security, frontend patterns, compacting, cross-functional OpenAI skills"
  - "Core + selected niche" — "Add framework/domain-specific skills after core"
  - "Niche only" — "Skip core, install specific framework/domain skills"
Default: Core only

If the user chooses niche or core + niche, continue to category selection below and only include those niche skills they pick.

2b: Choose Skill Categories

There are 7 selectable category groups below. The detailed confirmation lists that follow cover 45 skills across 8 categories, plus 1 standalone template. Use AskUserQuestion with multiSelect: true:

Question: "Which skill categories do you want to install?"
Options:
  - "Framework & Language" — "Django, Laravel, Spring Boot, Quarkus, Go, Python, Java, Frontend, Backend patterns"
  - "Database" — "PostgreSQL, ClickHouse, JPA/Hibernate patterns"
  - "Workflow & Quality" — "TDD, verification, learning, security review, compaction"
  - "Research & APIs" — "Deep research, Exa search, Codex API patterns"
  - "Social & Content Distribution" — "X/Twitter API, crossposting alongside content-engine"
  - "Media Generation" — "fal.ai image/video/audio alongside VideoDB"
  - "Orchestration" — "dmux multi-agent workflows"
  - "All skills" — "Install every available skill"

2c: Confirm Individual Skills

For each selected category, print the full list of skills below and ask the user to confirm or deselect specific ones. If the list exceeds 4 items, print the list as text and use AskUserQuestion with an "Install all listed" option plus "Other" for the user to paste specific names.

Category: Framework & Language (25 skills)

Skill	Description
backend-patterns	Backend architecture, API design, server-side best practices for Node.js/Express/Next.js
coding-standards	Universal coding standards for TypeScript, JavaScript, React, Node.js
django-patterns	Django architecture, REST API with DRF, ORM, caching, signals, middleware
django-security	Django security: auth, CSRF, SQL injection, XSS prevention
django-tdd	Django testing with pytest-django, factory_boy, mocking, coverage
django-verification	Django verification loop: migrations, linting, tests, security scans
laravel-patterns	Laravel architecture patterns: routing, controllers, Eloquent, queues, caching
laravel-security	Laravel security: auth, policies, CSRF, mass assignment, rate limiting
laravel-tdd	Laravel testing with PHPUnit and Pest, factories, fakes, coverage
laravel-verification	Laravel verification: linting, static analysis, tests, security scans
frontend-patterns	React, Next.js, state management, performance, UI patterns
frontend-slides	Zero-dependency HTML presentations, style previews, and PPTX-to-web conversion
golang-patterns	Idiomatic Go patterns, conventions for robust Go applications
golang-testing	Go testing: table-driven tests, subtests, benchmarks, fuzzing
java-coding-standards	Java coding standards for Spring Boot and Quarkus: naming, immutability, Optional, streams, CDI
python-patterns	Pythonic idioms, PEP 8, type hints, best practices
python-testing	Python testing with pytest, TDD, fixtures, mocking, parametrization
quarkus-patterns	Quarkus architecture, Camel messaging, CDI services, Panache data access

Category: Database (3 skills)

Skill	Description
clickhouse-io	ClickHouse patterns, query optimization, analytics, data engineering
jpa-patterns	JPA/Hibernate entity design, relationships, query optimization, transactions
postgres-patterns	PostgreSQL query optimization, schema design, indexing, security

Category: Workflow & Quality (8 skills)

Skill	Description
continuous-learning	Legacy v1 Stop-hook session pattern extraction; prefer continuous-learning-v2 for new installs
continuous-learning-v2	Instinct-based learning with confidence scoring, evolves into skills, agents, and optional legacy command shims
eval-harness	Formal evaluation framework for eval-driven development (EDD)
iterative-retrieval	Progressive context refinement for subagent context problem
security-review	Security checklist: auth, input, secrets, API, payment features
strategic-compact	Suggests manual context compaction at logical intervals
tdd-workflow	Enforces TDD with 80%+ coverage: unit, integration, E2E
verification-loop	Verification and quality loop patterns

Category: Business & Content (5 skills)

Skill	Description
article-writing	Long-form writing in a supplied voice using notes, examples, or source docs
content-engine	Multi-platform social content, scripts, and repurposing workflows
market-research	Source-attributed market, competitor, fund, and technology research
investor-materials	Pitch decks, one-pagers, investor memos, and financial models
investor-outreach	Personalized investor cold emails, warm intros, and follow-ups

Category: Research & APIs (2 skills)

Skill	Description
deep-research	Multi-source deep research using firecrawl and exa MCPs with cited reports
exa-search	Neural search via Exa MCP for web, code, company, and people research

codex-api is an OpenAI canonical skill. Install it from openais/skills when you want the official Codex API workflow instead of an ecc-bundled copy.

Category: Social & Content Distribution (2 skills)

Skill	Description
x-api	X/Twitter API integration for posting, threads, search, and analytics
crosspost	Multi-platform content distribution with platform-native adaptation

Category: Media Generation (2 skills)

Skill	Description
fal-ai-media	Unified AI media generation (image, video, audio) via fal.ai MCP
video-editing	AI-assisted video editing for cutting, structuring, and augmenting real footage

Category: Orchestration (1 skill)

Skill	Description
dmux-workflows	Multi-agent orchestration using dmux for parallel agent sessions

Standalone

Skill	Description
docs/examples/project-guidelines-template.md	Template for creating project-specific skills

2d: Execute Installation

For each selected skill, copy the entire skill directory from the correct source root:

# Core skills live under .agents/skills/
cp -R "$ecc_ROOT/.agents/skills/<skill-name>" "$TARGET/skills/"

# Niche skills live under skills/
cp -R "$ecc_ROOT/skills/<skill-name>" "$TARGET/skills/"

When iterating over globbed source directories, never pass a trailing-slash source directly to cp. Use the directory path as the destination name explicitly:

cp -R "${src%/}" "$TARGET/skills/$(basename "${src%/}")"

Note: continuous-learning and continuous-learning-v2 have extra files (config.json, hooks, scripts) — ensure the entire directory is copied, not just SKILL.md.

---

Step 3: Select & Install Rules

Use AskUserQuestion with multiSelect: true:

Question: "Which rule sets do you want to install?"
Options:
  - "Common rules (Recommended)" — "Language-agnostic principles: coding style, git workflow, testing, security, etc. (8 files)"
  - "TypeScript/JavaScript" — "TS/JS patterns, hooks, testing with Playwright (5 files)"
  - "Python" — "Python patterns, pytest, black/ruff formatting (5 files)"
  - "Go" — "Go patterns, table-driven tests, gofmt/staticcheck (5 files)"

Execute installation:

# Common rules
cp -r $ecc_ROOT/rules/common $TARGET/rules/common

# Language-specific rules (preserve per-language directories)
cp -r $ecc_ROOT/rules/typescript $TARGET/rules/typescript   # if selected
cp -r $ecc_ROOT/rules/python $TARGET/rules/python            # if selected
cp -r $ecc_ROOT/rules/golang $TARGET/rules/golang            # if selected

Important: If the user selects any language-specific rules but NOT common rules, warn them:

"Language-specific rules extend the common rules. Installing without common rules may result in incomplete coverage. Install common rules too?"

---

Step 4: Post-Installation Verification

After installation, perform these automated checks:

4a: Verify File Existence

List all installed files and confirm they exist at the target location:

ls -la $TARGET/skills/
ls -la $TARGET/rules/

4b: Check Path References

Scan all installed .md files for path references:

grep -rn "~/.codex/" $TARGET/skills/ $TARGET/rules/
grep -rn "../common/" $TARGET/rules/
grep -rn "skills/" $TARGET/skills/

For project-level installs, flag any references to ~/.codex/ paths:

• If a skill references ~/.codex/settings.json — this is usually fine (settings are always user-level)
• If a skill references ~/.codex/skills/ or ~/.codex/rules/ — this may be broken if installed only at project level
• If a skill references another skill by name — check that the referenced skill was also installed

4c: Check Cross-References Between Skills

Some skills reference others. Verify these dependencies:

• django-tdd may reference django-patterns
• laravel-tdd may reference laravel-patterns
• quarkus-tdd may reference quarkus-patterns
• springboot-tdd may reference springboot-patterns
• continuous-learning-v2 references ~/.codex/homunculus/ directory
• python-testing may reference python-patterns
• golang-testing may reference golang-patterns
• crosspost references content-engine and x-api
• deep-research references exa-search (complementary MCP tools)
• fal-ai-media references videodb (complementary media skill)
• x-api references content-engine and crosspost
• Language-specific rules reference common/ counterparts

4d: Report Issues

For each issue found, report:

1. File: The file containing the problematic reference
2. Line: The line number
3. Issue: What's wrong (e.g., "references ~/.codex/skills/python-patterns but python-patterns was not installed")
4. Suggested fix: What to do (e.g., "install python-patterns skill" or "update path to .codex/skills/")

---

Step 5: Optimize Installed Files (Optional)

Use AskUserQuestion:

Question: "Would you like to optimize the installed files for your project?"
Options:
  - "Optimize skills" — "Remove irrelevant sections, adjust paths, tailor to your tech stack"
  - "Optimize rules" — "Adjust coverage targets, add project-specific patterns, customize tool configs"
  - "Optimize both" — "Full optimization of all installed files"
  - "Skip" — "Keep everything as-is"

If optimizing skills:

1. Read each installed SKILL.md
2. Ask the user what their project's tech stack is (if not already known)
3. For each skill, suggest removals of irrelevant sections
4. Edit the SKILL.md files in-place at the installation target (NOT the source repo)
5. Fix any path issues found in Step 4

If optimizing rules:

1. Read each installed rule .md file
2. Ask the user about their preferences:
   • Test coverage target (default 80%)
   • Preferred formatting tools
   • Git workflow conventions
   • Security requirements
3. Edit the rule files in-place at the installation target

Critical: Only modify files in the installation target ($TARGET/), NEVER modify files in the source ecc repository ($ecc_ROOT/).

---

Step 6: Installation Summary

Clean up the cloned repository from /tmp:

rm -rf /tmp/Everything OpenAI Codex

Then print a summary report:

## ecc Installation Complete

### Installation Target
- Level: [user-level / project-level / both]
- Path: [target path]

### Skills Installed ([count])
- skill-1, skill-2, skill-3, ...

### Rules Installed ([count])
- common (8 files)
- typescript (5 files)
- ...

### Verification Results
- [count] issues found, [count] fixed
- [list any remaining issues]

### Optimizations Applied
- [list changes made, or "None"]

---

Troubleshooting

"Skills not being picked up by OpenAI Codex"

• Verify the skill directory contains a SKILL.md file (not just loose .md files)
• For user-level: check ~/.codex/skills/<skill-name>/SKILL.md exists
• For project-level: check .codex/skills/<skill-name>/SKILL.md exists

"Rules not working"

• Rules are flat files, not in subdirectories: $TARGET/rules/coding-style.md (correct) vs $TARGET/rules/common/coding-style.md (incorrect for flat install)
• Restart OpenAI Codex after installing rules

"Path reference errors after project-level install"

• Some skills assume ~/.codex/ paths. Run Step 4 verification to find and fix these.
• For continuous-learning-v2, the ~/.codex/homunculus/ directory is always user-level — this is expected and not an error.