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Execute detailed plans in batches with review checkpoints and course correction.
This skill appears to be prompt-only and open source, with no declared secrets, remote endpoints, or extra system permissions, so overall risk is low. Its main function is to guide batched plan execution and checkpoint reporting; any real file or execution risk would come from the host environment rather than this skill text itself.
The materials explicitly state that no keys or environment variables are required, and the README does not request tokens, API keys, or credentials, so there is no direct credential collection, storage, or misuse path shown.
No remote endpoints are declared, and the content is purely procedural guidance; there is no indication that user data, plans, or verification output must be sent to external services.
This skill itself is prompt/procedural text and does not contain executable code, install scripts, or a mechanism to actively invoke system commands. References to 'execute tasks' and 'run verifications' are operational guidance, not evidence that the skill itself gains code execution privileges.
The README mentions 'read plan file,' but given the prompt-only classification, it does not declare any actual filesystem permissions, write paths, or data persistence behavior; no excessive access request is shown.
The source is on GitHub and open source, which is a clear risk-reducing factor because it is auditable; however, the repository has 0 stars, no declared license, and unknown maintenance status, so community validation and maintenance signals are weak and basic source verification is still advisable.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Executing Plans" skill from askskill: 1. Download https://raw.githubusercontent.com/obra/clank/main/skills/collaboration/executing-plans/SKILL.md 2. Save it as ~/.claude/skills/executing-plans/SKILL.md 3. Reload skills and tell me it's ready
Break this product launch plan into 4 execution batches. For each batch, list goals, tasks, dependencies, and risks, then add a review checkpoint at the end to decide whether to proceed to the next batch.
A phased launch plan with batch task lists, risk notes, and review checkpoints.
Using this feature development roadmap, split the work into execution batches by priority. For each batch, provide tasks, acceptance criteria, and code review checkpoints. After each batch, summarize whether to move to the next one.
A priority-based development execution plan with acceptance criteria, review checkpoints, and phase summaries.
Help me execute this market research plan in batches: data collection, information organization, and insight synthesis. After each stage, output review questions to verify whether the results are sufficient for the next step.
A staged research workflow with outputs and review questions for step-by-step progress and adjustment.
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."
Default: First 3 tasks
For each task:
When batch complete:
Based on feedback:
After all tasks complete and verified:
Write evergreen comments focused on what and why, not historical context.
Compare 2-3 approaches before execution to choose a stronger solution.
Plan with pseudocode first, refine approaches, then translate into working code.
Search past Claude Code chats to recover facts, decisions, and context.
Design systems by hiding implementation details behind domain-level interfaces.
Name code by domain meaning to improve clarity and team alignment.
Review implementation plans for gaps, assumptions, and sequencing before coding starts
Create step-by-step implementation plans for engineers new to a codebase.
Turn requirements into a clear step-by-step execution plan before implementation.
Create detailed implementation plans for engineers with little or no codebase context.
Execute implementation plans with task-specific subagents and code review checkpoints.
Plan task capacity and queue handling to improve execution and resource allocation.