executing-via-codegen

name	executing-via-codegen
description	Use when executing implementation plans via Codegen cloud agents instead of locally. Delegates each task as a separate Codegen agent run, monitors progress, and handles blockers. Drop-in replacement for superpowers:executing-plans — works with the same plan format.
user-invocable	true

Executing Plans via Codegen

Overview

Load plan, delegate each task to a Codegen cloud agent, monitor until done, report results.

Core principle: One task = one agent run. You orchestrate, Codegen executes.

Announce at start: "I'm using the executing-via-codegen skill to execute this plan via Codegen cloud agents."

Prerequisites

• CODEGEN_API_KEY and CODEGEN_ORG_ID environment variables set
• Repository registered in Codegen organization
• MCP tools available: codegen_create_run, codegen_get_run, codegen_get_logs, codegen_resume_run, codegen_stop_run, codegen_start_execution, codegen_get_execution_context, codegen_get_agent_rules

v0.6 Tools (Optional, Recommended)

These tools enhance the execution workflow but are not required:

• codegen_check_integration_health — verify integrations before running (Step 2)
• codegen_bulk_create_runs — batch-create runs for independent tasks (Step 3 alternative)
• codegen_monitor_run_background — background monitoring with progress callbacks (Step 3c alternative)
• codegen_get_run_analytics — analytics after all runs complete (Step 5 enhancement)

The Process

Step 0: Find the Plan

1. If a plan path was provided, read it

2. Otherwise, look for the most recent plan in docs/plans/ (pattern: YYYY-MM-DD-*.md)

3. If no plan found, ask the user for the path

4. The plan may contain a superpowers header like:

   > **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans
   

   This is fine — executing-via-codegen is the cloud alternative. Proceed normally.

Step 1: Load and Review Plan

1. Read the plan file
2. Review critically — check for:
   • Missing prerequisites or dependencies between tasks
   • Unclear task descriptions that an agent might misinterpret
   • Tasks that need repo-specific knowledge
3. If concerns: raise with user before starting
4. Parse all tasks from the plan (### Task N: ...)
5. Extract plan header (Goal, Architecture, Tech Stack, any context sections)
6. Initialize context with codegen_start_execution(mode="plan", plan_tasks=[...]) — this returns an execution_id that tracks all tasks and their state

Step 2: Verify Codegen Access

1. Call codegen_list_repos to verify the repository is accessible
2. Note the repo_id for subsequent calls (or let auto-detect handle it)
3. If repo not found: ask user to check Codegen setup
4. (v0.6) Call codegen_check_integration_health to verify webhooks, GitHub app, and API connectivity are healthy before creating runs. If any check fails, surface it to the user before proceeding.

Step 2b: Select Model (Optional)

1. Call codegen_get_models to see available models
2. Show options to user: "Which model for agent runs? (default = org default)"
3. Use selected model for all runs, or let each run use the default

Step 3: Execute Each Task

Bulk Delegation (v0.6, Independent Tasks Only)

If the plan contains tasks that are independent (no inter-task dependencies), consider using codegen_bulk_create_runs to launch them all at once:

codegen_bulk_create_runs(
  tasks=[
    {prompt: <task_1_prompt>, execution_id: <ctx_id>},
    {prompt: <task_2_prompt>, execution_id: <ctx_id>},
    ...
  ],
  agent_type="claude_code"
)

This returns all run IDs at once and is faster than sequential creation. Skip to Step 3c for monitoring. See the bulk-delegation skill for details.

If tasks have dependencies (Task 2 needs Task 1's output), use sequential execution below.

Sequential Execution

For each task in the plan:

a. Build the prompt:

Use the delegate_task prompt template as base, then compose:

## Context
[Plan header: Goal, Architecture, Tech Stack]

Previously completed tasks:
- Task 1: [one-line summary of result]
- Task 2: [one-line summary of result]

## Your Task
[Full text of current task from plan — all steps verbatim]

## Constraints
- Create a branch from main (or the current default branch)
- Run tests after each step
- Commit with conventional commit messages
- Create a PR when done

b. Create the agent run:

codegen_create_run(
  prompt=<composed prompt>,
  execution_id=<ctx_id>,
  repo_id=<detected or explicit>,
  agent_type="claude_code"
)

The execution_id enables auto-enrichment — the run prompt is automatically enriched with execution context (goal, completed tasks, previous results).

If a model was selected in Step 2b, pass model=<selected>.

c. Monitor progress:

(v0.6 preferred) Use codegen_monitor_run_background(run_id=<id>, execution_id=<ctx_id>) to start background monitoring. This automatically polls, detects status transitions, and reports progress without manual sleep loops. You will be notified when the run reaches a terminal state.

Manual polling (fallback): Poll every 30 seconds:

sleep 30

Then call codegen_get_run(run_id=<id>, execution_id=<ctx_id>). The execution_id enables auto-parsing — run results are automatically parsed and stored in the execution context. Check the status field:

Status	Action
running	Continue polling. Show: "Task N still running..."
queued	Continue polling. Show: "Task N queued..."
completed	Go to step d
failed	Go to step e
paused	Go to step f

Max polling: 10 minutes per task. After 10 min, show status and ask user.

d. On completion — Two-Stage Review Gate:

Before moving to the next task, review the agent's output. Use the reviewing-agent-output skill process:

Stage 1: Spec Compliance (always)

1. Call codegen_get_logs(run_id, limit=30, reverse=false) — chronological review
2. Call codegen_get_run(run_id, execution_id=<ctx_id>) to check for PRs
3. Verify against the original task from the plan:
   • All task items addressed?
   • Correct files modified?
   • Tests written and passing (check Bash tool outputs in logs)?
   • PR created with descriptive title?
   • Scope respected — no unrelated changes?
4. If PARTIAL: codegen_resume_run(run_id, prompt="Missing: [specific items]")
5. If FAIL: use debugging-failed-runs skill, then create new run with better prompt

Stage 2: Code Quality (for risky tasks) Apply full quality review for: auth/security changes, database migrations, multi-file refactors, and the final task in a plan. For simple model/schema/test additions, Stage 1 is sufficient.

6. Check logs for quality signals:
   • No console.log/debug artifacts in Edit tool inputs
   • No hardcoded secrets or credentials
   • Agent didn't revert its own changes (indecision signal)
   • Diff size is proportional to task scope (not excessive)
7. If MINOR issues: codegen_resume_run(run_id, prompt="Fix: [specific issues]")
8. If MAJOR issues: create new run with clearer guidance

After review passes: 9. Report to user:

• What the agent did (from logs summary)
• PR link (if created)
• Review verdict (PASS / PASS with notes)
• Any warnings from logs

10. Mark task as completed in TodoWrite

e. On failure:

Use the debugging-failed-runs skill for systematic diagnosis:

1. Call codegen_get_logs(run_id, limit=50, reverse=false) — full chronological view
2. Classify failure (prompt problem, test failure, environment, scope, loop, git)
3. Build fix strategy based on classification
4. Ask: "Resume with fix instructions, skip this task, or stop?"
5. If resume: codegen_resume_run(run_id, prompt=<targeted fix based on diagnosis>)
6. If skip: mark task as skipped, continue to next
7. If stop: codegen_stop_run(run_id) if still running, then halt
8. Max 2 retries per task — after 2 failures, recommend skipping or doing locally

f. On pause (agent needs input):

1. Call codegen_get_logs(run_id, limit=10) to see what agent is asking
2. Show the agent's question/blocker to user
3. Get user's response
4. codegen_resume_run(run_id, prompt=<user response>)
5. Resume polling

Step 4: Report Between Tasks

After each task completes, use codegen_get_execution_context for a progress report:

• Show what was done
• Show PR link if created
• Show current progress (N/M tasks completed) from the execution context
• Say: "Ready for next task, or do you want to review first?"

Step 5: Final Summary

After all tasks, use the execution_summary prompt to generate a final report:

• List all completed tasks with PR links
• Show any skipped/failed tasks
• Total agent runs created
• Suggest: "All PRs created. Review them on GitHub and merge when ready."
• Offer: "Want to use superpowers:finishing-a-development-branch to handle merging?"

(v0.6) Call codegen_get_run_analytics to enrich the summary with:

• Average run duration and token usage
• Success/failure rates across all tasks
• Performance trends compared to previous executions
• Recommendations for prompt or workflow improvements

See the run-analytics skill for interpretation guidance.

Differences from Local Execution

Aspect	executing-plans (local)	executing-via-codegen (cloud)
Where	Your terminal	Codegen cloud sandbox
Output	Files on disk	PRs on GitHub
Branch	Git worktree required	Codegen creates branch
Review	Local diff	PR diff on GitHub
Batch size	3 tasks per batch	1 task = 1 agent run
Monitoring	Direct stdout	codegen_get_logs
Cancel	Ctrl+C	codegen_stop_run
Context	Manual prompt building	Auto-enriched via execution_id

When to Stop and Ask

STOP immediately when:

• HTTP 402 — billing limit reached (tell user)
• HTTP 403 — check API key / org_id
• Agent fails repeatedly (>2 retries)
• User requests stop
• Plan has critical gaps

Error Recovery

If codegen_create_run returns HTTP error:

• 429: Wait 60 seconds, retry once
• 402: "Codegen billing limit reached. Cannot continue."
• 500+: Retry once, then report error

If polling times out (10 min):

• Show last known status
• Ask: "Agent still running. Wait longer, check logs, or cancel?"

Remember

• One task = one agent run (or use codegen_bulk_create_runs for independent tasks)
• Include full task text in prompt (not file references)
• Include previous task summaries for context
• Use execution_id with codegen_create_run and codegen_get_run for automatic context enrichment and parsing
• Prefer codegen_monitor_run_background over manual sleep loops when available
• Poll with sleep 30 between checks (fallback if background monitoring unavailable)
• Always show PR links when available
• Use codegen_stop_run for cancellation — don't just stop polling
• Use codegen_get_execution_context for progress tracking
• Use codegen_check_integration_health before starting a batch of runs
• Use codegen_get_run_analytics after completion for performance insights
• Stop on blockers, don't guess