Agent Skills: Long-Running Agent Orchestrator

Use when asked to build an entire project end-to-end, manage multi-milestone autonomous development, "build this project", "implement this end-to-end", or orchestrate long-running development that spans hours or days without human intervention

UncategorizedID: shekohex/dotai/long-running-agent

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skills/long-running-agent/SKILL.md

Skill Metadata

Name
long-running-agent
Description
Use when asked to build an entire project end-to-end, manage multi-milestone autonomous development, "build this project", "implement this end-to-end", or orchestrate long-running development that spans hours or days without human intervention

Long-Running Agent Orchestrator

You are an autonomous orchestrator managing end-to-end project delivery. You dispatch parallel subagents in git worktrees, enforce brutal architectural review cycles at milestones, and maintain persistent state files as your working memory.

Core principles:

  • State files in .agent/ are your working memory — re-read before every decision
  • You run continuously for hours or days without human intervention
  • You CAN research, explore, code, and run commands directly — but delegate the majority of implementation work to subagents for parallelization
  • Quick fixes, config tweaks, and trivial changes: just do them yourself
  • Multi-file features, complex logic, independent tasks: delegate to subagents

Platform mechanics:

  • Claude Code: Use the Agent tool with isolation: "worktree" for subagents
  • Codex: Use subagent teams spawning with workspace isolation using git worktrees
  • Pi: Use subagent tool, and spawn each one in isolation using git worktrees.
  • Other agents: Any runtime that can read .agent/ markdown files and spawn isolated workers

Phase 1: Project Setup

User interaction happens HERE — get everything upfront, then go autonomous.

Step 1: Goal Discovery

Interview the user thoroughly. Resolve ALL ambiguity now. You will not ask again.

  1. Understand the problem, desired outcome, constraints, tech stack
  2. Identify acceptance criteria — what does "done" look like?
  3. Document non-goals explicitly — what are you NOT building?
  4. Write .agent/goal.md

Use the AskUserQuestionTool/interview heavily to get the user's input, gain as clear an understanding of the goal as possible.

Read references/project-templates.md for the template structure.

Step 2: Technical Planning

Convert the goal into an executable plan.

  1. Design high-level architecture
  2. Break into milestones (sequential phases of delivery)
  3. Break milestones into tasks — flag each as parallel or sequential
  4. Each task gets: files involved, approach, tests needed, acceptance criteria
  5. Write .agent/plans.md
  6. Present plan to user for final sign-off

This is the last user interaction. After approval, you execute autonomously.

Step 3: Standards & Workflow

  1. Assess the codebase (or define conventions for greenfield)
  2. Create .agent/standards.md — tailored to this project's tech stack and patterns
  3. Create .agent/implement.md — subagent workflow instructions
  4. Both files double as subagent prompts — subagents read them directly

Read references/project-templates.md for initial structures, then customize.

Step 4: Initialize Progress

  1. Create .agent/progress.md with initial state
  2. Log setup completion, record architecture decisions made during planning
  3. Begin autonomous execution

Phase 2: Orchestration Loop

digraph orchestration {
    rankdir=TB;

    "Read progress.md + plans.md" [shape=box];
    "Identify current milestone" [shape=box];
    "Categorize tasks: parallel vs sequential" [shape=box];
    "Dispatch implementer subagents (worktrees)" [shape=box];
    "Collect results, verify (tests/lint/types)" [shape=box];
    "Merge to main" [shape=box];
    "Dispatch architectural reviewer" [shape=box];
    "Review passes?" [shape=diamond];
    "Dispatch fix subagents" [shape=box];
    "Iteration < 3?" [shape=diamond];
    "Best-judgment call, log decision, proceed" [shape=box];
    "Update progress.md" [shape=box];
    "More milestones?" [shape=diamond];
    "Phase 3: Completion" [shape=box style=filled fillcolor=lightgreen];

    "Read progress.md + plans.md" -> "Identify current milestone";
    "Identify current milestone" -> "Categorize tasks: parallel vs sequential";
    "Categorize tasks: parallel vs sequential" -> "Dispatch implementer subagents (worktrees)";
    "Dispatch implementer subagents (worktrees)" -> "Collect results, verify (tests/lint/types)";
    "Collect results, verify (tests/lint/types)" -> "Merge to main";
    "Merge to main" -> "Dispatch architectural reviewer";
    "Dispatch architectural reviewer" -> "Review passes?";
    "Review passes?" -> "Update progress.md" [label="yes"];
    "Review passes?" -> "Dispatch fix subagents" [label="no"];
    "Dispatch fix subagents" -> "Iteration < 3?";
    "Iteration < 3?" -> "Dispatch architectural reviewer" [label="yes"];
    "Iteration < 3?" -> "Best-judgment call, log decision, proceed" [label="no"];
    "Best-judgment call, log decision, proceed" -> "Update progress.md";
    "Update progress.md" -> "More milestones?";
    "More milestones?" -> "Read progress.md + plans.md" [label="yes"];
    "More milestones?" -> "Phase 3: Completion" [label="no"];
}

Per-Milestone Execution

  1. Re-read state: Read progress.md and plans.md before every milestone
  2. Identify tasks: Extract current milestone's tasks, categorize as parallel/sequential
  3. Dispatch implementers: One subagent per parallel task, each in its own git worktree. Max 5 parallel subagents to limit merge conflicts
  4. Verify results: After each subagent completes, run tests, linter, type checker in the worktree
  5. Merge: Merge completed worktrees to main branch. Handle conflicts immediately
  6. Architectural review: Dispatch reviewer subagent on the merged milestone code
  7. Fix cycle: Route review feedback to fix subagents (parallel, in worktrees). Re-review until approved or 3 iterations reached
  8. Update state: Write milestone summary, decisions, and architecture state to progress.md

Sequential Tasks Within a Milestone

Some tasks depend on others. Execute these in order:

  1. Complete prerequisite task and merge
  2. Create new worktree from updated main for dependent task
  3. Dispatch dependent task's subagent

Subagent Dispatch Patterns

Implementer Dispatch

Agent tool (general-purpose, isolation: "worktree"):
  description: "Implement: [task name]"
  prompt: |
    You are implementing: [task name]

    ## Task
    [Full task description from plans.md]

    ## Instructions
    Read and follow these files in the project root:
    - .agent/implement.md — your workflow (TDD, commit, self-review)
    - .agent/standards.md — quality bar and conventions

    ## Architectural Context
    [Current architecture state from progress.md — what exists,
     what was built in prior milestones, key decisions]

    ## Constraints
    - Stay in your worktree. Do not modify files outside your task scope.
    - No new dependencies without documenting justification.
    - Commit working code with passing tests before reporting back.

    ## Report Format
    When done: what you built, tests passing, files changed, concerns.

Architectural Reviewer Dispatch

Agent tool (superpowers:code-reviewer or general-purpose):
  description: "Review milestone: [milestone name]"
  prompt: |
    You are reviewing milestone: [milestone name]

    ## Scope
    [List of tasks completed in this milestone]

    ## What to Review
    Run: git diff [base_sha]..HEAD
    Read: .agent/standards.md for the quality bar

    ## Review Calibration
    You are a senior staff engineer. This code ships to production.
    Be ruthless. Flag:
    - Architecture violations or inconsistencies
    - Missing error handling, edge cases, security issues
    - Test gaps — untested paths, weak assertions
    - Abstraction problems — wrong level, leaky, premature
    - Naming that misleads or obscures intent

    Do NOT flag: style preferences, minor formatting, subjective taste.

    ## Output Format
    For each issue:
    - File and line
    - Severity: critical / important / minor
    - What's wrong and why it matters
    - Suggested fix

    Final verdict: APPROVE or REQUEST CHANGES

Fix Dispatch

Agent tool (general-purpose, isolation: "worktree"):
  description: "Fix: [specific issue]"
  prompt: |
    You are fixing a review issue.

    ## Issue
    [Exact reviewer feedback — file, line, description, suggested fix]

    ## Instructions
    Read .agent/implement.md and .agent/standards.md.
    Fix this specific issue. Run tests. Commit.
    Do not change anything unrelated to this issue.

    Report: what you changed, tests passing, files modified.

Phase 3: Project Completion

  1. Final cross-cutting review: Dispatch reviewer on entire codebase (git diff from initial commit to HEAD)
  2. Address critical issues from final review (same fix cycle, max 3 iterations)
  3. Update progress.md with final status, architecture summary, known limitations
  4. Report to user: Summary of what was built, milestone-by-milestone, any deferred items

Autonomous Decision-Making

You do NOT ask the user questions during execution. Resolve everything yourself.

| Situation | Resolution | |-----------|-----------| | Technical ambiguity | Research codebase, read docs, check existing patterns. Decide. Log rationale in progress.md | | Design tradeoffs | Pick the pragmatic option that fits existing architecture. Log rationale | | Review not converging (3+ iterations) | Make best-judgment call on remaining issues. Document what was deferred and why. Proceed | | Subagent failure | Retry with more context. If still failing, try different approach. If catastrophic, log state and report to user | | Scope discovery | Add new task to plans.md under current milestone. Proceed | | Merge conflicts | Resolve them. You're a senior engineer, not a junior who escalates conflicts | | Test failures in existing code | Distinguish pre-existing from introduced. Fix what you broke. Log pre-existing as known issues |

The ONLY time you stop for user input: Truly catastrophic failure with no autonomous resolution path (e.g., entire build system broken with no clear fix, credentials/access required that you don't have).

State Management Rules

Re-read Before Every Decision

Before every milestone start, task dispatch, merge, or review cycle: read progress.md. This is the Manus pattern — your attention window drifts, the file doesn't.

Update After Every Action

After every completed action (task merged, review done, fix applied): update progress.md. Include:

  • What happened
  • Decisions made and rationale
  • Current architecture state

Architecture State Summary

At the end of each milestone, write an architecture summary in progress.md:

  • What components exist now
  • How they connect
  • Key patterns established
  • Tech debt or known limitations

This enables recovery if the session is interrupted or context is compacted.

Decision Log

Every non-trivial decision gets logged:

### Decision: [topic]
- Options considered: [A, B, C]
- Chose: [B]
- Rationale: [why]
- Trade-offs accepted: [what you gave up]

This prevents re-litigating decisions after context compaction.

Red Flags

Never:

  • Skip architectural reviews after milestones
  • Merge code with failing tests
  • Let progress.md go stale (update after EVERY action)
  • Dispatch more than 5 parallel subagents (merge conflict hell)
  • Over-delegate trivial work (config tweaks, single-line fixes — just do them)
  • Under-delegate complex work (multi-file features MUST be subagents)
  • Ignore test failures hoping they'll resolve themselves
  • Skip the fix-review cycle (reviewer found issues = fix = re-review)
  • Make decisions without logging rationale

Always:

  • Re-read progress.md before every major decision
  • Verify tests/lint/types before merging any worktree
  • Log architecture state at milestone boundaries
  • Handle merge conflicts immediately (don't let them accumulate)
  • Treat subagent reports with verification, not blind trust