execution-plan-manager

execution-plan-manager is a skill for Claude Code, Codex from ytvee-dev/webdev-agent-kit. It costs 36 tokens per session (3,075 once invoked), scanned A, original, Apache-2.0.

A tool for creating and managing detailed frontend execution plans, with work divided into smaller parts and a record of evidence and progress.

In plain words
What is it for?
Use it for multi-step frontend projects that need ordered phases, verified slices, review decisions, or saved stop-and-resume state.
Why use it?
It keeps larger frontend tasks from becoming open-ended and makes it easier to stop, resume, and check the work.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents; mentions AGENTS.md.

Part of the webdev-agent-kit plugin — 23 skills shipped together

Good fit Use it for multi-step frontend projects that need ordered phases, verified slices, review decisions, or saved stop-and-resume state.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ytvee-dev/webdev-agent-kit/execution-plan-manager
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ytvee-dev/webdev-agent-kit --skill execution-plan-manager
Clone the repo
git clone --depth 1 https://github.com/ytvee-dev/webdev-agent-kit

Made for: Claude Code, Codex.

Or install webdev-agent-kit, the plugin that ships this one along with the rest of its 23 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for execution-plan-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager/github.svg)](https://agentmods.dev/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager)
Your own site
<a href="https://agentmods.dev/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager"><img src="https://agentmods.dev/badge/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for execution-plan-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager"><img src="https://agentmods.dev/badge/skills/ytvee-dev/webdev-agent-kit/execution-plan-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,075 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.03075
Opus 5.5 $0.00014 $0.01230
Sonnet 5.5 $0.00007 $0.00615
Haiku 4.5 $0.00004 $0.00308

Measured 1mo ago against content hash f9c8ef75538d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

execution-plan-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/execution-plan-manager/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execution Plan Manager

Purpose

Create, resume, analyze, and converge execution plans for standard or deep frontend work after the goal is defined.

This skill prevents large tasks from becoming unbounded development sessions. It splits work into small verified slices, selects the minimum useful context budget, records stop/resume state when needed, and decides whether a slice needs a one-pass check, bounded retry loop, goal-based loop, independent review, or durable memory handoff.

When To Use

Use this skill only after AGENTS.md and common/prompt-intent-routing-rules.md classify the task as Standard Workflow or Deep Workflow.

Use this skill when:

  • a goal contract exists or the user goal is already explicit;
  • the task needs more than one implementation slice;
  • the task may need stop/resume state;
  • the task has dependencies, blockers, or ordered phases;
  • the task should be split before coding;
  • the user asks to continue an existing large task;
  • the agent needs to compare completed work with the plan;
  • the task may require measurable iteration and should be handed to loop-workflow-planner.

When Not To Use

Do not use this skill for Lightweight Workflow prompts, including one small bug, one obvious typo, one obvious type error, one small styling adjustment, one isolated component change, one direct file-scope edit, or one local refactor with clear boundaries.

Do not use this skill to implement code, install tools, scaffold projects, rewrite architecture, create tests, or perform visual QA.

If a lightweight task reveals hidden scope or repeated failure, escalate first using common/prompt-intent-routing-rules.md, then use this skill only if the escalated task is standard or deep.

Required Context

  1. Read AGENTS.md.
  2. Read common/prompt-intent-routing-rules.md when task scale is not obvious.
  3. Read common/planning-rules.md.
  4. Read common/planning-analysis-rules.md only in analyze mode.
  5. Read common/convergence-rules.md only in converge mode.
  6. Read common/checkpoint-rules.md when durable stop/resume state is needed.
  7. Read common/agent-loop-policy.md when the plan may need measurable iteration.
  8. Confirm the workflow level is Standard Workflow or Deep Workflow.
  9. Read the current goal contract from the response, user request, or project/active-goals.md when present and relevant.
  10. Read only project overlays needed to slice the task safely, such as project/stack-profile.md, project/architecture-map.md, project/styling-profile.md, or project/verification-profile.md.
  11. Read affected source files only when slicing, analysis, or convergence cannot be done safely without them.

Read the full file on GitHub · 281 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +9 lines f9c8ef75538d
  2. 1mo ago Changed · +2 lines e15cac1df992
  3. 1mo ago First seen · 270 lines · 36 tokens per session scan A 2d90dcaeda8f

Subscribe to this mod's changes

execution-plan-manager is a skill published in the GitHub repository ytvee-dev/webdev-agent-kit (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 36 tokens to every session and 3,075 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

playwright-cli

Automates browser interactions for testing and validating your own web applications using playwright-cli. Use when you need terminal-first browser control for navigation, form filling, screenshots, tracing, bound browser sessions, debugging, or generating Playwright test code. Only use against applications you own or…

testdino-hq/playwright-skill · 64 tokens

design-dna

Extract, define, and apply design DNA across three dimensions: design system (tokens), design style (qualitative feel), and visual effects (Canvas, WebGL, 3D, particles, shaders, scroll effects, etc.). Use this skill when: (1) a user wants to see the full 3-dimension design structure/schema, (2) a user provides…

zanwei/design-dna · 192 tokens

playwright-frontend

For frontend engineers authoring UI — how to make components reliably locatable by tests and AI agents. Covers the official Playwright locator priority, semantic/accessible markup first, and how to add valid, unique, stable data-testid attributes (naming convention, uniqueness in lists, stability rules) for React…

testdino-hq/playwright-skill · 92 tokens

playwright-qa

QA engineering workflows on top of Playwright. Use when a QA engineer asks to design test cases from a ticket, PRD or acceptance criteria, decide what to automate, write a bug report from a failing test or trace, convert manual test cases (TestRail, Xray, CSV) into Playwright specs with case-ID traceability, or review…

testdino-hq/playwright-skill · 83 tokens

source-grounded-research

Produce auditable, evidence-first research and reports for public-interest, market, policy, product, academic, and fact-checking questions. Use this skill whenever a user asks to investigate a topic, compare options, verify claims, synthesize multiple sources, or write a research report that should be traceable claim…

LerpKey/source-grounded-research · 121 tokens

playwright-skill

Current Playwright (1.64) patterns for writing, debugging, and scaling reliable test suites. Use for any Playwright task, even ones you think you know, because the guides cover APIs and CLI flags newer than most training data. Covers writing or fixing tests, locators, a failing or flaky test, a trace.zip or error…

testdino-hq/playwright-skill · 0 tokens