Best for
- Use when the brief mentions "PRD", "spec", "product spec", "feature brief", or "需求文档".
nexu-io/open-design/design-templates/pm-spec/SKILL.md
Use it for design and operations tasks; the detail page covers purpose, installation, and practical steps.
Decision brief
Produce a one-page product spec / PRD.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/pm-spec"Inspect the Agent Skill "pm-spec" from https://github.com/nexu-io/open-design/blob/89d6d4ef21baf80f871595abdf6f7de6e941dd44/design-templates/pm-spec/SKILL.md at commit 89d6d4ef21baf80f871595abdf6f7de6e941dd44. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Read the active DESIGN.md. 2. Identify the feature + audience from the brief. 3. Layout: - Header strip: title, status pill (Draft / Review / Approved), date, owner. - Three-line summary at the top — what, who, why now. - "Problem" panel with one paragraph and a quote from a…
Review the “Output contract” section in the pinned source before continuing.
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 64/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 82,073 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | catalog record | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Produce a one-page product spec / PRD.
<style>, semantic HTML, accent used twice max.<artifact identifier="spec-name" type="text/html" title="Spec Title">
<!doctype html>...</artifact>
Alternatives
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
MoizIbnYousaf/marketing-cli
Use when the user wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
K-Dense-AI/scientific-agent-skills
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.