SKILL.md 5.4 KB


name: code-execution description: Execute coding subtasks with self-review and quality validation. Use when implementing features, refactoring code, creating new files, or modifying existing code. Invokes the coder-agent subagent for isolated execution. context: fork

agent: coder-agent

Code Execution Skill

Execute coding subtask: $ARGUMENTS

Context

You are running in the coder-agent subagent with isolated context. The main agent has pre-loaded all necessary context files and created the subtask JSON.

Your Task

  1. Read the subtask JSON at the path provided in $ARGUMENTS
  2. Load all context_files listed in the subtask (standards, patterns, conventions)
  3. Load all reference_files to understand existing code patterns
  4. Implement deliverables following acceptance criteria exactly
  5. Run self-review (type validation, import verification, anti-pattern scan)
  6. Mark subtask complete using task-cli.ts
  7. Return completion report to main agent

Workflow

Step 1: Read Subtask JSON

The subtask path is: $ARGUMENTS

Read it to understand:

  • title — What to implement
  • acceptance_criteria — What defines success
  • deliverables — Files/endpoints to create
  • context_files — Standards to apply (pre-discovered by main agent)
  • reference_files — Existing code to study

Step 2: Load Context Files

Read each file in context_files to understand:

  • Project coding standards
  • Naming conventions
  • Security patterns
  • Code quality requirements

Step 3: Load Reference Files

Read each file in reference_files to understand:

  • Existing patterns
  • Code structure
  • Conventions already in use

Step 4: Update Status

Use edit to update the subtask JSON:

"status": "in_progress",
"agent_id": "coder-agent",
"started_at": "2026-02-16T00:00:00Z"

Step 5: Implement Deliverables

For each deliverable:

  • Create or modify the specified file
  • Follow acceptance criteria exactly
  • Apply standards from context_files
  • Use patterns from reference_files
  • Write clean, modular, functional code

Step 6: Self-Review (MANDATORY)

Run ALL checks:

Type & Import Validation:

  • Verify function signatures match usage
  • Confirm all imports/exports exist
  • Check for missing type annotations
  • Verify no circular dependencies

Anti-Pattern Scan (use grep):

  • console.log — debug statements
  • TODO or FIXME — unfinished work
  • Hardcoded secrets or API keys
  • Missing error handling in async functions
  • any types where specific types required

Acceptance Criteria Verification:

  • Re-read acceptance_criteria array
  • Confirm EACH criterion is met
  • Fix any unmet criteria before proceeding

Step 7: Mark Complete

Update subtask status:

bash .opencode/skills/task-management/router.sh complete {feature} {seq} "{completion_summary}"

Verify completion:

bash .opencode/skills/task-management/router.sh status {feature}

Step 8: Return Completion Report

Report to main agent:

✅ Subtask {feature}-{seq} COMPLETED

Self-Review: ✅ Types clean | ✅ Imports verified | ✅ No debug artifacts | ✅ All acceptance criteria met

Deliverables:
- {file1}
- {file2}
- {file3}

Summary: {completion_summary}

Principles

  • Context first, code second — Always read context_files before implementing
  • One subtask at a time — Complete fully before moving on
  • Self-review is mandatory — Quality gate before signaling done
  • Functional, declarative, modular — Clean code patterns
  • Return results to main agent — Report completion for orchestration

When Main Agent Should Use This Skill

The main agent should invoke this skill when:

  • Implementing new features — Creating new files, functions, or modules
  • Refactoring existing code — Improving structure, performance, or maintainability
  • Fixing bugs — Modifying code to resolve issues
  • Adding functionality — Extending existing code with new capabilities
  • Creating tests — Writing unit, integration, or e2e tests (though test-generation skill is preferred)

What Main Agent Must Do First

Before invoking this skill, the main agent MUST:

  1. Discover context using context-discovery skill
  2. Create subtask JSON with all required fields:
    • title, acceptance_criteria, deliverables
    • context_files (from context-discovery)
    • reference_files (existing code to study)
  3. Get approval from user for the implementation plan
  4. Pass subtask JSON path as $ARGUMENTS to this skill

Example Usage

Main agent workflow:

1. User: "Implement JWT authentication"

2. Main agent invokes: /context-discovery "JWT authentication patterns"
   → Returns: security patterns, auth standards, coding conventions

3. Main agent creates: .tmp/tasks/auth-system/subtask_01.json
   → Includes: context_files, acceptance_criteria, deliverables

4. Main agent presents plan and gets approval

5. Main agent invokes: /code-execution ".tmp/tasks/auth-system/subtask_01.json"
   → Coder-agent executes in isolated context
   → Returns completion report

6. Main agent continues orchestration

Notes

  • This skill runs in isolated context (coder-agent subagent)
  • Context files are pre-loaded by main agent (no nested ContextScout calls)
  • Results are returned to main agent for orchestration
  • Main agent handles workflow progression and approval gates