CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Write a PRD for an AI-powered feature, covering the things normal PRDs miss.
Install AI Feature Prd
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prd --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-feature-prd .claude/skills/ai-feature-prd && rm -rf skills-srcUse ~/.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/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .claude/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prdType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prd --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-feature-prd .agents/skills/ai-feature-prd && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .agents/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prd --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-feature-prd .cursor/skills/ai-feature-prd && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .cursor/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/ai-feature-prd--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prd --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-feature-prd .gemini/skills/ai-feature-prd && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .gemini/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prdInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-feature-prd .github/skills/ai-feature-prd && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .github/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-feature-prd --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-feature-prd .opencode/skills/ai-feature-prd && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-feature-prd" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-feature-prd into .opencode/skills/ai-feature-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feature-prd", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-feature-prd- GitHub stars
- 1.4k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 562 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Write a PRD for an AI-powered feature, covering the things normal PRDs miss.
- Asked to spec an AI/LLM feature
- SKILL.md covers Required Inputs, Reads from / Writes to the Brain, Output Format and Quality Checks, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Write a PRD for a feature that uses a model
What it does
AI Feature Prd is an agent skill from mohitagw15856/pm-claude-skills. Write a PRD for an AI-powered feature, covering the things normal PRDs miss. Use when asked to spec an AI/LLM feature, write a PRD for a feature that uses a model, or plan an AI capability (assistant, summarizer, generator, classifier). Produces an AI feature PRD — problem & UX of uncertainty, model approach, eval criteria, guardrails, fallback behaviour, the data flywheel, and cost/latency budget.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Product & Project Management, covering PRD writing. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to spec an AI/LLM feature
- Write a PRD for a feature that uses a model
- Plan an AI capability (assistant
Example prompts
- “/ai-feature-prd”
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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.
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
AI Feature Prd loads about 1.1k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 562 words of instructions outside code blocks.
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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 562 words, ~1,105 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-feature-prd/SKILL.md (or your agent's skills folder).- name
- ai-feature-prd
- description
- Write a PRD for an AI-powered feature, covering the things normal PRDs miss. Use when asked to spec an AI/LLM feature, write a PRD for a feature that uses a model, or plan an AI capability (assistant, summarizer, generator, classifier). Produces an AI feature PRD — problem & UX of uncertainty, model approach, eval criteria, guardrails, fallback behaviour, the data flywheel, and cost/latency budget.
AI Feature PRD Skill
AI features break the normal PRD because the system is probabilistic: it will be wrong sometimes, and the product must be designed around that, not in denial of it. This skill extends a standard PRD with the AI-specific sections that decide whether the feature is trustworthy — the UX of uncertainty, the eval bar, guardrails, and what happens when the model is wrong.
Required Inputs
Ask for these only if they aren't already provided:
- The user problem and why an AI/probabilistic approach fits it (vs. deterministic rules).
- What "good" looks like to the user, and the cost of a wrong answer (low-stakes vs. high-stakes).
- Inputs available — context/data the model can use; privacy constraints.
- Trust level needed — can the user verify the output, or must it be near-perfect?
Reads from / Writes to the Brain
If a professional-brain exists, read context.md (product, users, voice)
and knowledge/strategy.md first; write the feature to entities/ and any scoping decision to decisions/,
each provenance-tagged.
Output Format
AI Feature PRD: [feature]
1. Problem & why AI — the user problem, and why a model (not rules) is the right tool. If rules would do, say so.
2. Experience — the core flow, and crucially the UX of uncertainty: how confidence is shown, how the user verifies/edits, and how errors are made cheap to recover from. AI features live or die here.
3. Model approach — prompt / fine-tune / RAG / agent (link rag-design-doc or agent-spec), the model tier, and why.
4. Quality bar & evaluation — the metrics and the explicit ship threshold; reference an ai-eval-plan. State the acceptable error rate given the stakes.
5. Guardrails & safety — what the feature must never do, input/output filtering, and handling of harmful/PII/out-of-scope inputs.
6. Fallback behaviour — what happens when the model is unsure, wrong, slow, or down: graceful degradation, "I'm not sure" states, human handoff. No silent confident errors.
7. Data flywheel — how usage (and the 👍/👎 / edits) feed back into evaluation and improvement, with the privacy boundary.
8. Cost & latency — the per-request budget and p95 target; reference an llm-cost-latency-budget.
9. Rollout — staged exposure (internal → %→ GA), the guardrail metrics watched, and the rollback trigger.
Show full SKILL.md (214 more words)Show less
Quality Checks
- The PRD designs for the model being wrong — there's an explicit fallback, not just the happy path
- The UX shows uncertainty and lets the user verify/correct cheaply
- There's an explicit quality bar tied to the stakes (a medical answer and a tweet draft are not the same bar)
- Guardrails name what the feature must never do
- A data flywheel is defined with its privacy boundary
- Cost and p95 latency budgets are stated, not left to "we'll see"
Anti-Patterns
- Do not design only the happy path — a probabilistic feature without a fallback is a feature that fails loudly in production
- Do not hide uncertainty behind a confident UI — overclaimed confidence is how AI features lose user trust permanently
- Do not use AI where deterministic rules are better, cheaper, and more reliable — "AI" is not the goal
- Do not set one quality bar for all stakes — calibrate the acceptable error rate to the cost of being wrong
- Do not ship without a rollback trigger and guardrail metrics — a probabilistic system needs a kill switch
Based On
Standard PRD practice (see prd-template) extended for probabilistic systems — uncertainty UX, eval gates, guardrails, and graceful fallback.
Example Trigger Phrases
- "Spec an AI/LLM feature."
- "Write a PRD for a feature that uses a model."
- "Plan an AI capability."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ai-feature-prd of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Feature Prd 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Feature Prd this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Ralph Tui Create Beadssubsy/ralph-tui | 2.5k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Trellis Brainstormanjiemo/SunnyBeach | 178 | 7 repos | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Ralph Tui Create Beads Rustsubsy/ralph-tui | 2.5k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Ralph Tui Create JSONsubsy/ralph-tui | 2.5k | 1 repos | ~2.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about AI Feature Prd
What does AI Feature Prd do?
Write a PRD for an AI-powered feature, covering the things normal PRDs miss. AI Feature Prd is an agent skill from mohitagw15856/pm-claude-skills. Write a PRD for an AI-powered feature, covering the things normal PRDs miss.
When should I use AI Feature Prd?
AI Feature Prd fits situations like: asked to spec an AI/LLM feature; write a PRD for a feature that uses a model; plan an AI capability (assistant.
How do I install AI Feature Prd in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a claude-code`. Or copy the skill folder (skills/ai-feature-prd in mohitagw15856/pm-claude-skills) into .claude/skills/ai-feature-prd in your project. Claude Code loads it when a task matches its description.
How do I install AI Feature Prd in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd -a codex`. Or copy the skill folder (skills/ai-feature-prd in mohitagw15856/pm-claude-skills) into .agents/skills/ai-feature-prd in your project. Codex loads it when a task matches its description.
Can I use AI Feature Prd 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 mohitagw15856/pm-claude-skills --skill ai-feature-prd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-feature-prd, .gemini/skills/ai-feature-prd, .github/skills/ai-feature-prd and .opencode/skills/ai-feature-prd in your project.
What does AI Feature Prd need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Feature Prd is instructions for the agent only.
Does AI Feature Prd 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 AI Feature Prd 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 AI Feature Prd use?
AI Feature Prd is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Feature Prd use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Feature Prd?
Skills that share tags, products or a category with AI Feature Prd: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Feature Prd?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.