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orch-pipeline

Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly. Not usually invoked directly; it applies when an orch-* skill delegates its gated Research-Plan-TDD-Review-Commit pipeline.

¿Qué es orch-pipeline?

orch-pipeline is a Claude Code agent skill that shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly. Not usually invoked directly; it applies when an orch-* skill delegates its gated Research-Plan-TDD-Review-Commit pipeline.

Compatible conClaude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/orch-pipeline

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Documentación

Orchestrator Pipeline (shared engine)

The orch-* skills are thin wrappers. They do not re-implement any work — they classify the request, choose which phases of this pipeline run, and delegate each phase to an existing ECC agent or command. This file is that pipeline.

Invoke an operation skill (orch-add-feature, orch-fix-defect, …) rather than this engine directly. This file is the reference they point at.

When to Use

  • Loaded indirectly whenever an orch-* operation skill runs.
  • Read directly only when adding a new operation to the family or tuning the shared phases, gates, or agent map.

The operation family

SkillOperationTriggerFirst move
orch-add-featurefeaturecapability does not exist yetresearch + plan a new slice
orch-change-featuretweakworks, but desired behavior differsamend existing behavior and its tests
orch-fix-defectfixbroken; behavior is wrongreproduce as a failing test, then fix
orch-refine-coderefactorbehavior stays, structure improvesrestructure while keeping tests green
orch-build-mvpmvpbootstrap from a design/spec docingest doc → vertical slices

These wrappers compose existing ECC commands rather than replace them: /feature-dev, /plan, /code-review, /build-fix, /refactor-clean, and /gan-build, plus the tdd-workflow skill. The orch-* family adds the shared size classifier and the two gates on top of them, so one umbrella covers all five operations consistently.

Step 0 — Classify size (right-sizing)

Ceremony scales to blast radius. Score the request on three signals, take the highest tier any signal reaches, and state the result in one line so the user can override:

TierFiles touchedNew dependency / contractDesign ambiguityPhases that run
trivial1, a few linesnonenone — the change is obvious4 → 5 → 6
small1 file / 1 functionnoneclear once you read the code(1 light) → 4 → 5 → 6
standard2–5 filesmaybe a new internal moduleone real choice to make1 → 2 → 4 → 5 → 6
largemany / cross-cuttingnew external dep, public API, or a spec docmultiple open questions1 → 2 → (3) → 4 → 5 → 6

Phase 0 (Intake) always runs and is omitted from the mask column above. The tie-breaker: anything touching a security trigger (below) or a public API / contract is at least standard, regardless of file count.

The phases

Each phase delegates — it does not do the work inline.

  • 0. Intake — restate the request. For orch-build-mvp, read the spec/design doc and extract scope, locked decisions, and a feature list.
  • 1. Research & Reuse — per rules/common/development-workflow.md: gh search repos / gh search code, then Context7 / vendor docs, then package registries, then Exa. Prefer adopting a proven implementation over net-new code.
  • 2. Plan — delegate to the planner agent (or architect / code-architect for structural decisions). Output a task_list ordered as thin vertical slices. → GATE 1.
  • 3. Scaffoldorch-build-mvp only: stand up the first end-to-end slice.
  • 4. Implement (TDD) — drive each task through the tdd-guide agent (or the tdd-workflow skill): red → green → refactor. Honor the operation's first-move rule.
  • 5. Reviewcode-reviewer agent / /code-review. Add security-reviewer whenever the diff touches a security trigger (below).
  • 6. Commit — conventional commits (feat: / fix: / refactor: / …), one per logical chunk. → GATE 2.

The two gates

This family is gated, not autonomous:

  1. GATE 1 — after Plan. Present the task_list; do not write implementation code until the user approves.
  2. GATE 2 — before Commit. Present the diff summary and proposed messages; do not commit until the user confirms.

Everything between the gates flows without stopping.

Agent / command map

PhasePrimaryFallback / escalation
Intake / understandcode-explorertrace existing paths before a tweak, fix, or refactor
Planplannerarchitect, code-architect for structural calls
Implementtdd-guide (or tdd-workflow skill)build-error-resolver / /build-fix on build breaks
Reviewcode-reviewer / /code-reviewlanguage reviewer (python-reviewer, typescript-reviewer, …)
Securitysecurity-reviewer
MVP inner loop/gan-build "<brief>" --skip-plannerdrives gan-generatorgan-evaluator; tune --max-iterations / --pass-threshold

Match the language reviewer to the repo (see the repo's own CLAUDE.md).

Security-review trigger

Pull in security-reviewer when the diff touches any of: authentication or authorization, user-input handling, database queries, file-system paths, external API calls, cryptography, or secrets / credentials. (Per rules/common/security.md.)

Handoff artifacts

The pipeline carries no hidden state — the planning docs are the handoff:

  • task_list (from Plan) drives the Implement loop.
  • Larger work may also emit PRD / architecture / system_design under the repo's docs/ per rules/common/development-workflow.md.
  • Review findings (CRITICAL / HIGH) must be resolved before Gate 2.

Verification

  • size tier was stated and matched the work
  • Gate 1 (plan) and Gate 2 (commit) were both honored
  • security-reviewer ran iff a security trigger was touched
  • commits are conventional and scoped to one logical change
  • new / changed behavior has tests; coverage ≥ 80% per rules/common/testing.md

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

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 reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

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.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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