By rmolines
Context Engineering — context management layer for Claude Code. 8 skills + 3 agents: spike (technical investigation), architect (ecosystem research), reviewer (artifact review with grounding).
Ecosystem research agent for solution definition. Maps the current landscape of tools, libraries, and architectural approaches for a specific need BEFORE implementation begins. Use during /discovery or when facing an architectural decision with multiple viable options. Surveys what exists today, assesses fit against project context, presents a structured landscape with recommendations. Does not recommend based on novelty — burden of proof is on the change.
Work artifact reviewer with grounding. Reviews PRs, specs, plans, and discovery docs against quality criteria AND external reality. Two-phase protocol: (1) extract every external claim and verify against live sources via WebSearch, (2) evaluate artifact quality through standard review lenses. Grounding precedes quality review — invalid premises invalidate the whole artifact. Use after /delivery or /discovery completes, or to review any technical artifact.
Technical investigation agent. Answers specific feasibility questions with evidence before committing to implementation. Use when there is genuine technical uncertainty: unknown API behavior, untested integration, library capability, performance characteristic, or architecture viability. Researches internally (codebase) then externally (web), experiments if needed in isolated worktree, returns structured findings report.
Carregar contexto da sessão. Query live ao GitHub, deep context loading, briefing, alinhamento. Rodar no início de cada sessão. '/bootstrap' carrega e alinha. '/bootstrap migrate-to-github' migra estado local para GitHub Issues/Milestones.
Downstream: pega Issue especificada e entrega PR com validation report. Autônomo (Claude sozinho). Fases: research, decompose (plan interno), implement (subagentes), validate (subagente isolado), deliver (PR). Triggers: '/delivery #N', 'implementa #N', 'faz #N', 'entrega #N', 'build #N'.
Upstream: transforma pedido cru em Issue especificada no GitHub. Colaborativo (humano + Claude). Fases: entender intent (PM), propor experiência (Designer), validar com humano, spec técnica (Tech Lead), criar Issue. Pesquisa interna (codebase) e externa (web/docs). Triggers: '/discovery', 'quero X', 'preciso de', 'faz um discovery', 'vamos especificar', 'define isso', 'cria issue pra'.
Cristaliza um fluxo da sessão atual em skill nova ou atualização de skill existente. Analisa o que foi feito, extrai o padrão repetível, identifica anti-patterns aprendidos, e formaliza tudo. Usar quando um fluxo manual deu certo e vale ser reutilizável. Triggers: 'distill', 'cristaliza isso', 'formaliza esse fluxo', 'transforma em skill', 'quero reusar isso', 'salva esse workflow'.
Setup do Context Engineering no projeto. Configura camadas nativas do Claude Code (CLAUDE.md, rules, hooks) e cria camadas CE (state, domain map, GitHub). Idempotente — safe to re-run. '/init' em qualquer projeto novo ou pra checar saúde do setup.
Uses power tools
Uses Bash, Write, or Edit tools
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A context management layer for Claude Code that makes AI coding sessions stateful by default.
Most AI coding sessions start from zero. The assistant doesn't know your project's architecture, what you were working on yesterday, or where the important files are. You re-explain the same things every time.
Context engineering fixes this. It configures and optimizes Claude Code's native context layers (CLAUDE.md, rules, memory, hooks) and creates new ones (domain maps, GitHub infrastructure) — so every conversation starts with the right context instead of a blank slate.
Claude Code already has a context architecture: CLAUDE.md files, rules, memory, hooks, skills. CE doesn't replace any of that — it manages it:
┌─ Claude Code native ─────────────────────────────────────┐
│ CLAUDE.md Rules Memory Hooks Skills/Plugins │
├─ CE manages ─────────────────────────────────────────────┤
│ ↑ configures and optimizes native layers │
│ + creates: domain map, milestone docs, GitHub infra │
│ + connects: GitHub Issues/Milestones as human interface │
└──────────────────────────────────────────────────────────┘
Native layers CE manages: generates optimized CLAUDE.md templates, installs session rules, writes learnings to memory, configures hooks.
New layers CE creates: domain maps (.claude/docs/), .claude/state/ state tracking, GitHub infrastructure (labels, milestones, Projects V2).
CE routes context between multiple sources and your session:
┌─ Context sources ─────────────────────────────────────────┐
│ │
│ GitHub Issues → specs + session history (comments) │
│ GitHub Milestones → goals + signals │
│ GitHub PRs → delivery state │
│ │
│ .claude/docs/ → domain map (APIs, auth, patterns) │
│ discovery.md → deep research notes (per Issue) │
│ │
│ CLAUDE.md → project identity (always-on) │
│ rules/ → session behavior (always-on) │
│ memory/ → user preferences (always-on) │
└────────────────────────────┬──────────────────────────────┘
│
┌──────────────┼──────────────┐
▼ ▼ ▼
/bootstrap /persist /discovery
(read) (write) /delivery
└──────────────┴──────────────┘
Session context
The Issue is the handoff contract — discovery (human + Claude) produces it, delivery (Claude alone) consumes it. Session history lives as GitHub Issue comments — no local state files needed.
Install it and you get slash commands that form a complete session protocol:
| Command | What it does |
|---|---|
/init | Sets up CE in your project — generates CLAUDE.md, domain map, configures GitHub. Idempotent, run anytime to check health. |
/bootstrap | Loads session context — live GitHub query via GraphQL, deep context loading, briefing, alignment. Run at start of each session. |
/discovery | Upstream: transforms a rough request into a spec'd GitHub Issue. Human + Claude collaboration. |
/delivery | Downstream: picks up a spec'd Issue and delivers a PR with validation report. Autonomous. |
/persist | Saves session state as GitHub Issue comments — progress, decisions, continuation context. Detects domain drift. |
/distill | Crystallizes a workflow into a reusable skill. Extracts patterns and anti-patterns. |
Plus hooks (auto-restore context after compaction), rules (explore-plan-execute cycle, facts-first documentation), and templates (CLAUDE.md, domain maps, issue docs).
/init → one-time project setup (CLAUDE.md, domain map, GitHub)
/bootstrap → every session (load context, briefing, align)
/discovery → research + spec a request into a GitHub Issue
/delivery → implement a spec'd Issue → PR with validation
/persist → save session state as Issue comments for next session
claude plugin add github:rmolines/context-engineering
After installing, open any project:
cd your-project
claude
First time? Run init to set up CE:
/init
This scans your project and creates:
CLAUDE.md (if missing) with Commander's Intent format.claude/docs/index.md — domain map pointing to your APIs, auth, data model, and canonical patterns.claude/state/ — state tracking directoryThen load session context:
/bootstrap
npx claudepluginhub rmolines/context-engineering --plugin ceAI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.
No description provided.
Implementation planning, execution, and PR creation workflows with multi-agent collaboration