plan-loop
From the author
Use when the user has a coding or engineering prompt and wants it refined into a detailed, executable plan before any code is written — the planning stage of a prompt → plan → execute → debug pipeline. It decomposes the prompt from first principles (objective, end state, environment, building blocks, tools, packages), breaks the work into PR-sized tasks each tied to a component with its files, tests, and dependencies, orders them topologically, splits each into atomic subtasks, then a separate principal-engineer agent critiques the plan for alignment, coverage, sizing, and executability; it revises until the critique passes, emitting a plan.md layout and a structured tasks.json that a junior engineer or a smaller model can execute correctly. Not for executing, scaffolding, or debugging the plan (those are downstream loops), and not for research proposals or experiment plans.
Install
npx skills add gaasher/Agent-Loop-Skills --skill plan-loop -a claude-code
Installs to .claude/skills/plan-loop/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 74
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Similar skills
Closest to this one by what they do and when they are used.
- ds-plan-loopaicodeking/deepseek-stackWrite a numbered plan with an acceptance check for each step, critique it once in a fresh pass, revise it, then execute one step at a time. Use when a task touches more than one file, has unclear scope, or failed before because steps were missed. Invoke as /ds-plan-loop.Planning★ 114
- spec-loopmartinffx/atelierRun an approved Spec-backed Plan (design.md and plan.json both present) unattended to a draft PR: implement and review each batch with fresh subagents, commit, then finish with one whole-branch review. Use when the user says "run it to the end" or "implement everything and open a PR".Planning★ 50
- swe-loopgaasher/Agent-Loop-SkillsUse when the user has a coding prompt — a feature, bug fix, or refactor — and wants it implemented end to end by a self-checking software loop, not a single pass. It refines the prompt into an executable plan (running the plan-loop internally), then executes the plan task by task: an Engineer subagent implements each PR-sized task editing only source, a separate QA subagent authors the tests that prove the task's acceptance criteria (or grades quality only when tests already cover them), runs the task's tests plus the full accumulated regression suite, and grades the code against a strict conciseness/readability/style-match rubric; the Engineer and QA loop on each task until the tests pass and the quality gate holds, then it commits and opens a pull request for the task — stacked PRs (one per task, each based on the prior) by default, or one combined PR — and moves to the next task. Author and critic have disjoint write scopes (Engineer owns source, QA owns tests) so neither can game the gate. Not for produciTesting★ 178
- implementation-planningcbrock84/headcountTurns a spec or requirement into a written plan a separate session or agent can execute, then drives that plan through review checkpoints. Use this before touching code on any multi-step task, when work needs handing to someone else, when a task keeps sprawling mid-implementation, or when a plan exists and needs executing in order with verification between steps.Planning★ 2.6K
- planhashgraph-online/awesome-codex-pluginsShape a request into one end-to-end slice with observable behavior; review write scope and reversible decisions. Use when: planning, breaking down or scoping a change.Planning★ 1.5K
- lit-planwjgoarxiv/litgravityPlan before code: write a decision-complete plans/<slug>.md with tasks, files, tests and checks. Use for planning, scoping and plan-then-build requests.Planning★ 167
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