Create a concrete implementation plan from a spec or clearly scoped request before coding.

Apache-2.0Auto-check passedAgent Workflows

Install Dev Plan

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill dev-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins dev-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Jason-chen-coder/dev-skills/skills/dev-plan .claude/skills/dev-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dev-plan
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
924 words
Files
3 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create a concrete implementation plan from a spec or clearly scoped request before coding.

  • Implementation-planning requests such as 出个 plan
  • SKILL.md covers Establish the contract, Scale planning to risk, Draft the plan and Review and revise, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Planning

What it does

Dev Plan is an agent skill from hashgraph-online/awesome-codex-plugins. Create a concrete implementation plan from a spec or clearly scoped request before coding. Use for implementation-planning requests such as 出个 plan, 技术实施方案, plan this, or consensus plan. Ground steps in the repository and scale tradeoff analysis and independent review to risk. Clarify material requirement gaps when needed; do not force an intake workflow for already clear scope. Supports --quick and --deliberate.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `examples.md` and `references/dev-baseline.md`).

It sits in Agent Workflows, covering Planning. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Implementation-planning requests such as 出个 plan
  • Tasks that involve Planning

Example prompts

  • “/dev-plan”

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dev Plan loads about 2k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 924 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 924 words, ~2,046 tokens.

Download SKILL.mdSave it as .claude/skills/dev-plan/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
dev-plan
description
Create a concrete implementation plan from a spec or clearly scoped request before coding. Use for implementation-planning requests such as 出个 plan, 技术实施方案, plan this, or consensus plan. Ground steps in the repository and scale tradeoff analysis and independent review to risk. Clarify material requirement gaps when needed; do not force an intake workflow for already clear scope. Supports --quick and --deliberate.

Dev Plan

Produce an implementable, verifiable plan within the user's stated scope. Planning does not authorize implementation. Read references/dev-baseline.md.

Establish the contract

Read the supplied spec or related .claude/artifacts/designs/<feature>.md, relevant code, existing tests, and any accepted ADR. Preserve source links, acceptance criterion identifiers, scope exclusions, assumptions, and open questions. A clear request is sufficient without a separate spec artifact; summarize its requirements in the plan.

If a missing requirement materially changes the solution, ask for that decision or explain the blocked portion. Use dev-grill-docs when the task actually requires broader requirement alignment and that skill is available. Continue planning independent parts. Do not require a new intake invocation merely because a spec file is absent. A STUCK source must have its blocking questions resolved before planning dependent implementation.

Inspect actual definitions and call paths before naming modification targets. New paths must be labeled proposed. Cite existing paths and symbols; use line numbers only when verified and helpful. Do not manufacture precision or require a percentage of steps to contain line numbers.

Scale planning to risk

ModeDepth
--quickCompact requirements, steps, meaningful risks, and validation for a well-understood change
DefaultRepository-grounded steps, real design decisions, dependencies, and review proportional to impact
--deliberateAdd concrete failure scenarios, rollout and recovery considerations, and validation across relevant system boundaries

Honor the requested depth while still surfacing material risks. A small diff involving destructive operations, authorization, payments, migration, sensitive data, or public compatibility may need deeper treatment. Explain a necessary depth increase in one sentence; do not impose every test layer or a fixed number of scenarios on every task.

Draft the plan

  • Choose the smallest coherent approach consistent with existing architecture and accepted requirements.
  • Compare alternatives only when there is a real choice. One established approach is sufficient; briefly explain any important rejected option without inventing a second candidate.
  • Organize implementation steps by dependencies, observable behavior, and ownership. Include affected modules, data or API contracts, failure handling, and integration points where relevant.
  • Map acceptance criteria to concrete checks. Distinguish automated proof from staging, device, browser, or production evidence that needs a separate environment.
  • For consequential design decisions, record a concise ADR within the plan: decision, drivers, alternatives, rationale, and consequences. Follow existing project conventions; trivial plans need no ceremonial ADR.
  • For risky changes, describe credible failures, prevention or detection, rollout ordering, rollback or recovery limits, and relevant compatibility windows. Do not assume a destructive migration can be rolled back without data loss.
  • Note workspace constraints when they affect implementation: Git root, branch, dirty work, or concurrent ownership. Preserve the selected checkout; isolation is an engineering choice, not a mandatory approval stop.

For --deliberate or explicit RALPLAN-DR/consensus requests, retain recognizable principles, decision drivers, alternatives, architecture challenge, review outcome, and decision record. Apply them to real tradeoffs. Do not fabricate disagreement or reservations to fill the format.

Show full SKILL.md (452 more words)Show less

Review and revise

Separate authoring from review. For substantial, risky, or explicitly consensus plans, use an independent reviewer when delegation is available and authorized. Give them the source contract, draft, relevant code access, and a bounded review question. An architecture reviewer may challenge a consequential design; a second critic is useful only when it adds a distinct check.

Review for requirement coverage, correctness of repository assumptions, sequencing, compatibility, credible mitigations, and executable verification. Findings need evidence and a concrete implication. No findings is a valid outcome; a quota of objections creates noise.

In-context role switching is a self-check, not independent review or consensus. When independent review is unavailable, disclose that limitation and leave the plan DRAFT unless the user has explicitly accepted it. Do not pretend separate Planner / Architect / Critic labels establish approval.

Revise concrete findings, then review the affected changes. Stop when concerns are resolved or further progress needs unavailable evidence or a user decision. For an explicit consensus workflow, use at most three review rounds unless the user sets a different budget; preserve unresolved issues as BELOW_CONSENSUS_THRESHOLD at that limit. Do not escalate to new architecture solely because a round limit was reached.

Artifact and status

Default path: .claude/artifacts/plans/<feature>.md in the user's project. Use the user's specified path or chat-only output when requested. Reuse the source feature slug and preserve unrelated artifact content.

markdown
# <feature> Implementation Plan

> Status: DRAFT | APPROVED | REVISE | REJECT | BELOW_CONSENSUS_THRESHOLD
> Source: <spec path or user request>
> Mode: --quick | default | --deliberate
> Last updated: <YYYY-MM-DD>

## Requirements summary
<Scope and constraints>

## Acceptance criteria
<Preserved AC identifiers and observable outcomes>

## Implementation steps
<Ordered changes with concrete repository targets and dependencies>

## Risks & mitigations
<Material risks only>

## Verification steps
<Checks mapped to behavior, plus environment prerequisites>

## Open questions
<Only unresolved decisions, with affected steps; omit if none>

## Review trail
<Reviewer or user acceptance, actual findings and resolution, or self-check limitation>

Add ADR, workspace setup, pre-mortem, expanded test plan, and ownership sections only when relevant or requested. APPROVED means an independent reviewer found no blocking issue or the user explicitly accepted the current plan; record which. It does not mean code is implemented, tests passed, or implementation is authorized. A changed substantive plan needs its approval reassessed. A quick self-checked draft must not claim Critic approval.

Handoff

Return the plan path or requested inline plan, chosen approach, material unresolved issues, and review status. Respect plan-only requests. If a broader instruction already authorizes implementation, continue after the plan is usable within that authorization; do not require the user to invoke another skill as a procedural checkpoint. See examples.md for depth and approval examples.

SDD Contract

The plan links accepted intent to implementation targets, decisions, risks, ownership, and verification. Downstream work should preserve AC identifiers and report material drift. Update the affected contract when a behavior or decision changes; do not treat all implementation details as immutable or silently implement unresolved product choices.

Multi-Agent Profile

Recommended agent_type: default

When supported and authorized, delegate bounded exploration or an independent plan review. Keep one owner for the final artifact and user-facing questions; reviewers stay read-only. Workers need source artifact, scope, exclusions, relevant code, and expected evidence. In the source repository, docs/multi-agent-policy.md provides optional team guidance; it is not required by standalone installations.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/Jason-chen-coder/dev-skills/skills/dev-plan of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • examples.md
  • references/dev-baseline.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Dev Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dev Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dev Plan this skillhashgraph-online/awesome-codex-plugins1.2k—~2kAutomated safety check: PassApache-2.0
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills102k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16356 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    102k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    71k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 56 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    313 GitHub starsUsed in 18 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

More from hashgraph-online/awesome-codex-plugins

All 736 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated yesterday
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated yesterday
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated yesterday
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.2k GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Dev Plan

What does Dev Plan do?

Create a concrete implementation plan from a spec or clearly scoped request before coding. Dev Plan is an agent skill from hashgraph-online/awesome-codex-plugins. Create a concrete implementation plan from a spec or clearly scoped request before coding.

When should I use Dev Plan?

Dev Plan fits situations like: implementation-planning requests such as 出个 plan; tasks that involve Planning.

How do I install Dev Plan in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-plan -a claude-code`. Or copy the skill folder (plugins/Jason-chen-coder/dev-skills/skills/dev-plan in hashgraph-online/awesome-codex-plugins) into .claude/skills/dev-plan in your project. Claude Code loads it when a task matches its description.

How do I install Dev Plan in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-plan -a codex`. Or copy the skill folder (plugins/Jason-chen-coder/dev-skills/skills/dev-plan in hashgraph-online/awesome-codex-plugins) into .agents/skills/dev-plan in your project. Codex loads it when a task matches its description.

Can I use Dev Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dev-plan, .gemini/skills/dev-plan, .github/skills/dev-plan and .opencode/skills/dev-plan in your project.

What does Dev Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Dev Plan is instructions for the agent only.

Does Dev Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dev Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dev Plan use?

Dev Plan is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dev Plan use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 893 tokens, read only when the agent opens those files.

What are the alternatives to Dev Plan?

Skills that share tags, products or a category with Dev Plan: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 102k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dev Plan?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.