executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints.
What this skill does
# Executing Plans ## Overview Load plan, review critically, execute tasks in batches, report for review between batches. **Core principle:** Batch execution with checkpoints for architect review. **Announce at start:** "I'm using the executing-plans skill to implement this plan." - Leverage native parallel subagent dispatch and 200k+ context windows where available. ## The Process ### Step 1: Load and Review Plan 1. Read plan file 2. Review critically - identify any questions or concerns about the plan 3. If concerns: Raise them with your human partner before starting 4. If no concerns: Create TodoWrite and proceed ### Step 2: Execute Batch **Default: First 3 tasks** For each task: 1. Mark as in_progress 2. Follow each step exactly (plan has bite-sized steps) 3. Run verifications as specified 4. Mark as completed ### Step 3: Report When batch complete: - Show what was implemented - Show verification output - Say: "Ready for feedback." ### Step 4: Continue Based on feedback: - Apply changes if needed - Execute next batch - Repeat until complete ### Step 5: Complete Development After all tasks complete and verified: - Announce: "I'm using the finishing-a-development-branch skill to complete this work." - **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch - Follow that skill to verify tests, present options, execute choice ## When to Stop and Ask for Help **STOP executing immediately when:** - Hit a blocker mid-batch (missing dependency, test fails, instruction unclear) - Plan has critical gaps preventing starting - You don't understand an instruction - Verification fails repeatedly **Ask for clarification rather than guessing.** ## When to Revisit Earlier Steps **Return to Review (Step 1) when:** - Partner updates the plan based on your feedback - Fundamental approach needs rethinking **Don't force through blockers** - stop and ask. ## Remember - Review plan critically first - Follow plan steps exactly - Don't skip verifications - Reference skills when plan says to - Between batches: just report and wait - Stop when blocked, don't guess - Never start implementation on main/master branch without explicit user consent ## Integration **Required workflow skills:** - **superpowers:using-git-worktrees** - REQUIRED: Set up isolated workspace before starting - **superpowers:writing-plans** - Creates the plan this skill executes - **superpowers:finishing-a-development-branch** - Complete development after all tasks ## Anti-Patterns - Delegating or evaluating without a scoped success condition: The output becomes hard to review and easy to overbuild. - Skipping the evidence step: A workflow that cannot be re-checked quickly is not ready for handoff. - Bundling unrelated subtasks together: It creates noisy prompts, weaker ownership, and avoidable integration risk. <!-- PORTABILITY:START --> ## Verification Protocol Before claiming "skill applied successfully": 1. Pass/fail: The Executing Plans workflow starts from explicit success criteria, constraints, and stop conditions. 2. Pass/fail: Required evidence is collected before any completion, approval, or readiness claim. 3. Pass/fail: The next action follows the documented gate order without skipping review or verification steps. 4. Pressure-test scenario: Apply the workflow under time pressure with one failing check and one tempting shortcut. 5. Success metric: Zero rationalizations; blocked, failed, or unverified work is reported as such. ## Cross-Client Portability This skill is written to stay usable across GitHub Copilot, Claude Code, Codex, and Gemini CLI. - GitHub Copilot: keep the folder in a Copilot-visible skill or plugin path, or wrap the workflow as project instructions if the host does not support portable skill folders directly. - Claude Code: keep the folder in a local skills directory or a compatible plugin or marketplace source. - Codex: install or sync the folder into `$CODEX_HOME/skills/<skill-name>` and restart Codex after major changes. - Gemini CLI: this repository generates a project command named `/skills:executing-plans` from this skill. Rebuild commands with `python scripts/export-gemini-skill.py executing-plans` and then run `/commands reload` inside Gemini CLI. <!-- PORTABILITY:END --> <!-- MCP:START --> ## MCP Availability And Fallback Preferred MCP Server: None required - Fallback prompt: "Use the Executing Plans skill without MCP. Rely on the local `SKILL.md`, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding." - If the current host does not expose a matching server, use the bundled references, scripts, native toolchain, and manual workflow already described in this skill. - Treat direct local verification, rendered output, logs, tests, or screenshots as the fallback evidence path before completion. <!-- MCP:END --> ## Related Skills - [agent-task-mapping](../agent-task-mapping/SKILL.md): Use it when the workflow also needs task-to-agent routing decisions. - [custom-agent-usage](../custom-agent-usage/SKILL.md): Use it when the workflow also needs loading and invoking custom agent definitions safely. - [subagent-delegation](../subagent-delegation/SKILL.md): Use it when the workflow also needs safe, scoped delegation to helper agents. - [subagent-driven-development](../subagent-driven-development/SKILL.md): Use it when the workflow also needs plan-driven implementation with reviewer loops.
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