Project Setup

Role

You are a senior developer advocate responsible for project initialization, tooling configuration, and ensuring the agent-assisted development environment is correctly set up.

Autonomous Execution Policy

CRITICAL: NEVER pause, stop, or wait for user input during execution. Proceed through ALL steps autonomously without asking the user to "continue", "proceed", or confirm intermediate results. The ONLY acceptable reason to stop and ask the user is when there is a genuine doubt or ambiguity that cannot be resolved by reading the project files.

Execution Constraints

CRITICAL: This skill MUST NOT execute the application, run tests, start servers, compile code, or perform any runtime validation. Its sole purpose is to analyze the project structure and produce the configuration document. All analysis must be done by reading files and inspecting the directory structure — never by running the application.

Procedures

Preamble: Parse Invocation Argument Check if the user invoked this skill with the argument agents (e.g., /do-setup agents).

• If the argument is agents: set mode = agents-only. Skip Steps 1–4 and 6. Execute only Step 0 (AI tool detection) and Step 5 (install agents).
• If no argument or any other argument: set mode = full. Execute all steps in order.

Step 0: Detect AI Tool Environment Before doing anything else, determine which AI tool is executing this skill:

1. Check for .claude/ directory in the project root → Claude Code → config file: CLAUDE.md
2. Check if .github/copilot-instructions.md already exists → GitHub Copilot → config file: .github/copilot-instructions.md
3. Check if .github/ directory exists but copilot-instructions.md does not → likely GitHub Copilot → config file: .github/copilot-instructions.md
4. Check for any of the following Cursor AI indicators → Cursor AI:
   • .cursor/rules/ directory exists → config file: .cursor/rules/project.mdc, skills dirs: .cursor/rules/
   • .cursor/mcp.json exists → confirms Cursor AI (use together with rules detection)
   • .cursorrules file exists → config file: .cursorrules, skills dirs: none (legacy format)
5. Check for Opencode indicators → Opencode → config file: AGENTS.md:
   • opencode.json exists in the project root, OR
   • .opencode/ directory exists in the project root, OR
   • AGENTS.md already exists in the project root, OR
   • The current tool context identifies itself as Opencode
6. If none of the above, infer from the current tool context. When in doubt, default to CLAUDE.md.

Store the resolved config file path, the detected AI tool name, and the skills directories internally. Use them consistently throughout all remaining steps.

Step 1: Initialize Project Configuration The initialization strategy depends on the detected AI tool:

• Claude Code: Execute the /init skill/command to generate the initial CLAUDE.md. Wait for it to complete before proceeding.
• Opencode: No bash CLI available for initialization (opencode init is not a valid command — opencode's CLI interprets the first positional argument as a project path, so opencode init would try to cd into a directory named init and fail). Create AGENTS.md at the project root directly using the Write tool if it doesn't exist. Do not invoke opencode init via Bash under any circumstances.
• GitHub Copilot: No built-in init command. Create .github/copilot-instructions.md if it doesn't exist.
• Cursor AI: No built-in init command. Create the config file as determined in Step 0:
  • If using .cursor/rules/project.mdc: create the .cursor/rules/ directory if needed, then create the file with the following frontmatter header:

    ---
    description: Project instructions and conventions for the development orchestrator
    globs:
    alwaysApply: true
    ---
    
    

  • If using .cursorrules (legacy): create the file at the project root.

For all tools: if the config file already exists, proceed to Step 2 without overwriting it.

Step 2: Deep Project Analysis

1. Read the project configuration file at the path determined in Step 0, and README.md if it exists.
2. Read root config files if they exist: package.json, go.mod, pom.xml, build.gradle, build.gradle.kts, docker-compose.yml, tsconfig.json, settings.gradle, .nvmrc, Makefile, Dockerfile.
3. Scan directory structure recursively, ignoring:
   • Dependencies: node_modules/, .venv/, venv/, vendor/, .gradle/, .m2/
   • Build: target/, build/, dist/, out/, .next/, __pycache__/
   • Hidden: any path starting with . (except .claude/, .github/, and .cursor/)
   • Binaries/media: *.jar, *.class, *.png, *.jpg, *.pdf
4. Read representative files from each layer (e.g., a controller, a use case, a repository) to understand adopted patterns.
5. Build an internal summary with:
   • Main stack and versions
   • Adopted architecture (Clean Arch, MVC, DDD, etc.)
   • Naming and organization patterns
   • System purpose
   • External integrations (queues, databases, APIs)
6. Check test infrastructure:
   • Look for a test script in package.json (or equivalent for the stack).
   • Scan for test files (*.test.*, *.spec.*, __tests__/, test/, tests/).
   • If neither is found, include in the project configuration file output: "⚠️ AVISO: Nenhuma infraestrutura de testes detectada. O DO Framework exige que testes passem antes de marcar tasks como concluídas. Configure um test runner antes de usar do-execute-task."

Step 3: Identify Relevant Skills

1. List all available skills by scanning the AI tool's skills directories:
   • Claude Code: .claude/skills/
   • Opencode: .agents/skills/
   • GitHub Copilot: .github/ (look for instruction files)
   • Cursor AI: .cursor/rules/ (scan all .mdc files) For each directory, list every skill/rule file found and read its content.
2. EXCLUDE all do-* skills entirely — they are internal workflow skills and must NOT appear anywhere in the output artifact. Only evaluate technology/library skills (e.g., claude-api, find-skills).
3. For each remaining (non-do-*) skill, read its descriptor file (SKILL.md for Claude Code, the .mdc content for Cursor AI).
4. Based on the Step 2 summary, evaluate if the skill is relevant to the project.
5. A skill is relevant if it covers at least one of:
   • The project's primary language or framework
   • The adopted architecture
   • An identified pattern or integration (queues, database, API, etc.)

Step 4: Update the project configuration file Merge the following sections into the project configuration file at the path determined in Step 0. Preserve all existing content and append or update only the sections below:

## Project Summary
- **Purpose:** [system description]
- **Stack:** [main technologies and versions]
- **Architecture:** [adopted pattern]
- **Integrations:** [external services]

## Available Skills
**NOTE: Only list non-`do-*` skills here. Never include workflow skills (do-setup, do-create-prd, do-create-techspec, do-create-tasks, do-execute-task, do-execute-review, do-execute-qa, etc.) in this table.**
| Skill | Path | When to use |
|-------|------|-------------|
| [name] | [skills-dir]/[skill]/SKILL.md | [usage context] |

## Uncovered Skills
| Technology | Note |
|------------|------|
| [e.g., Java/Quarkus] | No skill available locally — add manually to the skills directory |

## Project Conventions
- **Naming:** [file and folder naming patterns]
- **Directory structure:** [relevant paths per layer]
- **Output patterns:** [where to generate files, templates used]

Step 5: Install Orchestration Agents & Commands Based on the AI tool detected in Step 0, install the agent-execute-task worker subagent and the slash command for orchestration. The orchestration logic of the queue lives in different places depending on the AI tool's subagent nesting policy:

• Claude Code, Cursor, GitHub Copilot: subagents cannot spawn other subagents by default (Claude Code docs; Copilot requires chat.subagents.allowInvocationsFromSubagents=true, which is off by default). The orchestration loop lives inside the slash command/prompt itself (runs on the main agent), and only agent-execute-task is installed as a subagent. Each task is delegated via the platform's task tool (one nesting level — allowed).
• Opencode: subagent nesting is allowed natively. Both agent-execute-all-tasks (orchestrator) and agent-execute-task (worker) are installed as subagents.

Naming convention: skills and commands keep the do- prefix; agents use the agent- prefix to avoid name collisions with the underlying skill.

1. Locate the agents/ subdirectory inside the do-setup skill directory by searching for **/do-setup/agents using Glob. This directory was copied alongside the SKILL.md when the user ran npx skills add.

2. For each detected AI tool, create the target directories if they don't exist and copy the corresponding files:

   Claude Code (if .claude/ was detected):

   • Run mkdir -p .claude/agents .claude/commands
   • Copy <skill-dir>/agents/claude/agents/agent-execute-task.md → .claude/agents/agent-execute-task.md
   • Copy <skill-dir>/agents/claude/commands/do-execute-all-tasks.md → .claude/commands/do-execute-all-tasks.md
   • Do NOT copy any agent-execute-all-tasks.md — orchestration is embedded in the slash command (Claude Code does not allow subagents to spawn other subagents).
   • If a previous install left a stale .claude/agents/agent-execute-all-tasks.md in the project, delete it (rm -f .claude/agents/agent-execute-all-tasks.md).

   Cursor AI (if .cursor/ was detected):

   • Run mkdir -p .cursor/agents .cursor/commands
   • Copy <skill-dir>/agents/cursor/agents/agent-execute-task.md → .cursor/agents/agent-execute-task.md
   • Copy <skill-dir>/agents/cursor/commands/do-execute-all-tasks.md → .cursor/commands/do-execute-all-tasks.md
   • Do NOT copy any agent-execute-all-tasks.md — orchestration is embedded in the slash command.
   • If a previous install left a stale .cursor/agents/agent-execute-all-tasks.md, delete it (rm -f .cursor/agents/agent-execute-all-tasks.md).

   GitHub Copilot (if .github/ was detected):

   • Run mkdir -p .github/agents .github/prompts
   • Copy <skill-dir>/agents/github/agents/agent-execute-task.agent.md → .github/agents/agent-execute-task.agent.md
   • Copy <skill-dir>/agents/github/prompts/do-execute-all-tasks.prompt.md → .github/prompts/do-execute-all-tasks.prompt.md
   • Do NOT copy any agent-execute-all-tasks.agent.md — orchestration is embedded in the prompt.
   • If a previous install left a stale .github/agents/agent-execute-all-tasks.agent.md, delete it (rm -f .github/agents/agent-execute-all-tasks.agent.md).

   Opencode (if Opencode was detected in Step 0):

   • Run mkdir -p .opencode/agents .opencode/commands
   • Copy <skill-dir>/agents/opencode/agents/agent-execute-all-tasks.md → .opencode/agents/agent-execute-all-tasks.md
   • Copy <skill-dir>/agents/opencode/agents/agent-execute-task.md → .opencode/agents/agent-execute-task.md
   • Copy all <skill-dir>/agents/opencode/commands/*.md → .opencode/commands/

3. Confirm to the user which files were installed and for which tools.

Use Bash to run cp commands. <skill-dir> is the path returned by the Glob search for **/do-setup/agents (without the trailing /agents).

Step 6: Report Results & Sync Progress (Mandatory)

1. SYNC INTERNAL PROGRESS: Once the project configuration file is updated, use the TaskUpdate tool to mark all corresponding items in your internal task tracking as completed.
2. ARTIFACT PATH VERIFICATION: Before reporting, confirm the config file was written to the exact path resolved in Step 0. Read the file back to verify it exists and contains the expected content.
3. Provide a summary of the setup performed.
4. COMPLIANCE CHECK: Before responding to the user, verify:
   • Is the project configuration file saved at the correct path (resolved in Step 0)?
   • Did you accurately identify the project stack and skills?

Output Language

Todos os artefatos gerados (seções do arquivo de configuração do projeto, resumos) devem ser escritos em Português do Brasil (PT-BR). Apenas exemplos de código, nomes de variáveis e caminhos de arquivos permanecem em inglês.

Error Handling

• If no config files are found (no package.json, go.mod, etc.), warn the user that the project may not be initialized and ask for clarification about the stack.
• If the project configuration file does not exist, create it from scratch.
• If the project configuration file already exists, merge new sections without overwriting user-written content — append or update only the sections defined in Step 4.
• If the skills directory is empty or missing, report that no skills are available and suggest the user install skills.
• If the directory scan reveals an unrecognizable project structure, document what was found and ask the user for guidance.

References

• Output: Project configuration file (e.g., CLAUDE.md for Claude Code, AGENTS.md for Opencode, .github/copilot-instructions.md for GitHub Copilot, .cursor/rules/project.mdc or .cursorrules for Cursor AI)
• Skills directories:
  • Claude Code: .claude/skills/ (each skill has a SKILL.md)
  • Opencode: .agents/skills/ (each skill has a SKILL.md)
  • GitHub Copilot: .github/ (instruction files)
  • Cursor AI: .cursor/rules/ (.mdc files with frontmatter)