Skip to content
Agentmart
Submit a tool

execute-plan-parallel

Execute an approved plan with parallel execution for independent steps.

Skill by aryansx

IndexedMIT★ 1
Write a review

Chalk Labs

Need help deploying execute-plan-parallel?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aryansx-execute-plan-parallel

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Execute an approved plan with parallel execution for independent steps. Spawns isolated subagents. Consolidates results.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/execute-plan-parallel

What's inside

Skill name
execute-plan-parallel
Description
Execute an approved plan with parallel execution for independent steps. Spawns isolated subagents. Consolidates results.
License
MIT
Instructions
211 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Superpowers Execute Plan (Parallel Mode)

## Overview
This workflow executes an approved plan by identifying independent steps and running them in parallel using isolated subagents.

## When to use parallel mode
- Plan has 2+ steps that don't depend on each other
- Steps operate on different files or independent modules
- You want faster execution (parallel > sequential)

## When NOT to use parallel mode
- Steps have dependencies (Step 2 needs Step 1's output)
- All steps modify the same file
- Plan has < 2 steps
- You want simpler debugging (sequential is easier to debug)

**If unsure, use `/superpowers:execute-plan` (sequential) instead.**

---

## Preconditions (do not skip)

1. The user must have replied **APPROVED** to a written plan
2. The approved plan must exist at: `artifacts/superpowers/plan.md`

If `artifacts/superpowers/plan.md` does not exist:
- Stop immediately
- Tell the user to run `/superpowers:write-plan` first
- Do not continue

---

## Load and analyze the plan

1. Read `artifacts/superpowers/plan.md`
2. Parse all plan steps
3. Identify dependencies between steps:
   - Does Step 2 modify files created/changed by Step 1?
   - Does Step 2 need Step 1's verification to pass first?
   - Do they modify the same files?
4. Group steps into execution batches:
   - **Batch 1**: All independent steps (no dependencies)
   - **Batch 2**: Steps that depend on Batch 1 completing
   - **Batch 3**: Steps that depend on Batch 2 completing
   - etc.

---

## Execution strategy

### For each batch:

1. **Spawn subagents in parallel** for all steps in the batch:

```bash
# Example: Batch 1 has 3 independent steps. Use the spawn_subagent.py script located under the plugin's skills/workflow/scripts/ directory (e.g. ~/.gemini/antigravity-cli/plugins/superpowers/skills/workflow/scripts/spawn_subagent.py) or .agent/skills/workflow/scripts/:
python <path_to_spawn_subagent>/spawn_subagent.py \
  --skill tdd \
  --task "Step 1: Add retry logic to sync.py with exponential backoff" &

python <path_to_spawn_subagent>/spawn_subagent.py \
  --skill rest-automation \
  --task "Step 2: Add pagination handling to fetch_items()" &

python <path_to_spawn_subagent>/spawn_subagent.py \
  --skill python-automation \
  --task "Step 3: Update CLI args to support --max-retries flag" &

# Wait for all to complete
wait
```

2. **Collect results** from each subagent:
   - Check log files in `artifacts/superpowers/subagents/`
   - Extract final results from each
   - Check success/failure status

3. **Verify batch completion**:
   - Run verification commands for all steps in the batch
   - If ANY step fails:
     - Stop execution
     - Switch to `/superpowers:debug` for the failed step
     - Do NOT continue to next batch

4. **Append to execution log**:
   - Write batch summary to `artifacts/superpowers/execution.md`:
     ```markdown
     ## Batch N (Parallel Execution)
     - Step X: [SUCCESS/FAILED] - Files: [...] - Duration: Xs
     - Step Y: [SUCCESS/FAILED] - Files: [...] - Duration: Ys

     Verification:
     - Step X: [command] -> [result]
     - Step Y: [command] -> [result]
     ```

5. **Move to next batch** (if all steps passed)

---

## Skill selection for subagents

Choose the appropriate skill for each step:

| Step Type | Skill to Use |
|-----------|-------------|
| Add tests, TDD cycle | `tdd` |
| Fix bugs, investigate failures | `debug` |
| Code review, quality check | `review` |
| REST API work | `rest-automation` |
| Python tooling/scripts | `python-automation` |
| General implementation | `tdd` (default) |

---

## Consolidation phase

After all batches complete:

From aryansx/antigravity-superpowers-plugin, MIT.

More from aryansx/antigravity-superpowers-plugin

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
May 22, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from aryansx

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get execute-plan-parallel running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying execute-plan-parallel?

CallGet help
Cite this page

execute-plan-parallel skill. Agent Mart. https://agentmart.dev/skills/aryansx-execute-plan-parallel (last updated 2026-10-24)