Autonomous Development Workflow

This skill provides a deterministic software engineering harness, designed to wrap AI code generation with strict alignment gates, adversarial evaluations, CI/CD pipeline principles, and collaborative Git practices. Load this skill when designing or orchestrating multi-step architectural features, automating deployment workflows, or writing code inside a structured environment.

1. Project Alignment Gate (PROJECT.md)

Before beginning implementation, you MUST cross-reference the proposed feature against PROJECT.md at the repository root. If PROJECT.md is missing, ask the user to clarify the project goals or constraints before proceeding.

• In-Scope: Confirm the feature directly serves a goal in PROJECT.md. Proceed.
• Out-of-Scope: Hard block. Halt work immediately and inform the user.
• Constraints: Abide strictly by the constraints (language, architecture, dependencies) defined in the project file.

2. Security Safety Nets

• Execution Sandboxing: Never run unknown or unverified shell scripts directly. Execute isolated tasks within the tmp/ scratch directory.
• Secret Protection: Check for exposed credentials or PII in diffs before committing. Never commit .env.
• Command Gates: Do not execute destructive commands (rm -rf, git reset --hard) without explicit Human-in-the-Loop approval.

3. Generator / Evaluator Pipeline

Features cannot simply be written and committed. They must navigate a rigid pipeline based on the adversarial evaluation pattern:

1. Research: Analyze local scope and external dependencies via parallel search strategies.
2. Planning: Formulate architecture and acceptance criteria (generator).
3. Acceptance Tests FIRST: Tests must be written before main implementation (TDD).
4. Implementation: Produce code.
   • HARD GATE: 0 test failures. You cannot proceed if tests fail. No stubs/placeholders allowed.
5. Adversarial Review: Self-evaluate the code as a skeptical reviewer (evaluator). Actively search for edge cases, security vulnerabilities, efficiency loss, and anti-patterns.
6. Documentation: Ensure docs stay tightly in sync with the codebase after the feature clears CI.

4. Workflow Orchestration

Follow strict version control (Conventional Commits, atomic commits) and CI/CD automation rules. Test code locally before creating PRs.

5. Context Management & Drift Prevention

As the context window fills up, context anxiety can degrade performance.

• Recognize when the session has spanned too many features or files (e.g., beyond 4-5 features).
• Use session summaries or persistent memories to bookmark state, clear the context, and resume with a fresh perspective.

6. Output Templates

Generator Plan Output:

### Feature Plan: [Feature Name]

**Scope:** [In-Scope/Out-of-Scope based on PROJECT.md]
**Constraints:** [Key constraints to respect]
**Acceptance Criteria:**

- [ ] Criterion 1
- [ ] Criterion 2

Evaluator Review Output:

### Adversarial Review: [Feature Name]

**Pass/Fail:** [Result]
**Security Risks:** [Identified risks or "None"]
**Edge Cases Missed:** [Edge cases]
**Required Fixes:** [List of fixes before proceeding]

Synergies

Skill/Workflow	Relationship
github-commander	Complementary — handles issue orchestration while this handles the dev lifecycle
adversarial-planner	Can be used during the Planning phase of the Generator pipeline
adversarial-security	Can be used during the Evaluator phase