prd-to-issues

prd-to-issues is a skill for Codex from PANGKAIFENG/ai-product-manager-skills. It costs 147 tokens per session (2,635 once invoked), scanned A, original, MIT.

A planning skill that turns an existing product requirements document, or PRD, into small GitHub Issues that developers can implement and verify. It groups work into complete user-facing slices instead of separate front-end, back-end, testing, and documentation tasks.

In plain words
What is it for?
Use it to draft implementation issues, check whether a PRD is ready to split, create an issue coverage matrix, and publish GitHub Issues after approval.
Why use it?
It makes a finished product plan easier to hand to developers while exposing missing requirements before work begins.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to draft implementation issues, check whether a PRD is ready to split, create an issue coverage matrix, and publish GitHub Issues after approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pangkaifeng/ai-product-manager-skills/prd-to-issues
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 PANGKAIFENG/ai-product-manager-skills --skill prd-to-issues
Clone the repo
git clone --depth 1 https://github.com/PANGKAIFENG/ai-product-manager-skills

Made for: Codex.

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 prd-to-issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues/github.svg)](https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues)
Your own site
<a href="https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues"><img src="https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues/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 prd-to-issues

Your own site · 80×15
<a href="https://agentmods.dev/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues"><img src="https://agentmods.dev/badge/skills/pangkaifeng/ai-product-manager-skills/prd-to-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,635 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00147 $0.02635
Opus 5 $0.00073 $0.01318
Sonnet 5 $0.00029 $0.00527
Haiku 4.5 $0.00015 $0.00264

Measured 12d ago against content hash 1295b738d7c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

prd-to-issues 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_issue_plan.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/prd-to-issues/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD 到研发 Issue 拆解(prd-to-issues)

中文速查

  • 中文名:PRD 到研发 Issue 拆解 / implementation issues
  • 英文稳定名:prd-to-issues
  • 分类:产品与 PRD / 工程交付
  • 你可以这样叫我:把 PRD 拆成 issue需求文档拆任务生成 GitHub issuesPRD 拆工单拆 implementation issues按 vertical slice 拆开发票
  • 适合:把已经成型的 PRD、handoff、产品方案或 GitHub PRD issue 拆成端到端可验证、可独立领取的 GitHub implementation issues
  • 不适合:从零起草 PRD,改用 prd-architect;评审 PRD 缺口,先用 prd-review;制定文件级实现计划、测试策略和提交节奏,交给 Superpowers writing-plans

Overview

这个 Skill 把 PM 侧需求交付物转成研发可领取的 issue backlog。核心原则是 vertical slice:每个 issue 应该交付一条窄但完整、可 demo、可验收的端到端路径,而不是按“前端 / 后端 / 测试 / 文档”横向拆票。

默认先输出 issue draft 和覆盖矩阵。只有用户明确确认后,才创建或修改 GitHub issues。

Workflow

  1. 定位输入来源:
    • 当前上下文中的 PRD / handoff / 产品方案。
    • 本地文件路径。
    • GitHub issue URL 或编号;需要时用 gh issue view <number> --comments 读取。
    • 其他文档摘要;如果无法直接访问,要求用户提供正文或可读取路径。
  2. 确认输出模式:
    • draft-only:只输出 issue 拆解草案。默认模式。
    • publish-after-approval:先出草案,用户确认后再创建 GitHub issues。
    • 不要在没有用户确认时直接 gh issue create
  3. 运行 PRD readiness gate。按 references/prd-readiness-checklist.md 判断 PRD 是否足够拆 issue:
    • 目标用户、问题、非目标、主流程、验收口径、关键约束、未决问题。
    • 如果阻断信息缺失,先提出最少问题或建议回到 prd-review
    • 输入属于 Product Delivery Package 时,必须先运行 canonical Manifest validator,并只消费它证明为 current/ready 的 pre_split_review;缺失、stale、changes_requested 或自审都立即停止拆分。
  4. 读取必要工程上下文:
    • 项目 README、架构说明、ADR、领域词汇、已有 routes/schema/API/UI 约定。
    • .github/ISSUE_TEMPLATE/、label/type/milestone 约定。
    • 现有 GitHub issues,避免重复创建。
  5. 拆 vertical slices。先读取 references/vertical-slice-rules.md
    • 每个 issue 必须端到端可验证。
    • 优先小而完整的 AFK issue。
    • 需要架构决策、设计确认、产品取舍或人工审查时标为 HITL。
    • 不要把未确认决策伪装成 AFK 任务。
    • 大需求同时建立 version_slice:每个 V1/V2/V3 必须有独立目标、范围、非目标、依赖、验收、风险、回滚点和交付证据;不能只按时间或前后端层级切分。
  6. 建立覆盖矩阵:
    • 每个 PRD section、user story、requirement、验收标准要么被 issue 覆盖,要么明确排除并说明原因。
    • 发现 PRD 缺口时,不要硬拆;标记为 HITL clarification 或建议先 prd-review
    • Product Delivery Package 模式下,把 version plan、issue drafts 和 coverage matrix 写入 Manifest,全部记录当前 Backlog Splitter 的 producer_identity,并用 actor-scoped validator 校验;这只形成待最终 Review 的 Package,不自行声明 package_ready
  7. 输出 draft issue plan。每个 issue 至少包含:
    • Title
    • Type: AFK / HITL
    • Priority / suggested labels
    • Source PRD sections
    • User stories / requirements covered
    • What to build
    • Acceptance criteria
    • Verification
    • Blocked by
    • Open questions
  8. 让用户确认:
    • 粒度是否过粗或过细。
    • 依赖是否正确。
    • HITL / AFK 标注是否正确。
    • 是否需要合并、拆分、改优先级或改标签。
  9. 经确认后发布。发布前读取 references/github-publish.md
    • 先查重。
    • 用项目 issue template 或 references/issue-body-template.md
    • 用临时文件或 --body-file 创建多行 Markdown issue body。
    • 按依赖顺序创建,先创建 blocker。
    • 创建完成后回填 issue URL / 编号,不关闭或改写 parent PRD。

Read the full file on GitHub · 212 lines

Files

What ships with it

8 files 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. 12d ago First seen · 212 lines · 147 tokens per session scan A 1295b738d7c8

Subscribe to this mod's changes

prd-to-issues is a skill published in the GitHub repository PANGKAIFENG/ai-product-manager-skills (11 stars, last pushed 12d ago), licensed MIT. It adds 147 tokens to every session and 2,635 once invoked, about $0.0007 per session on Opus 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.