Star200+

AI Product Development Toolkit

STRONG · 86
Community indexed

User-Centered Product Development Prompt Templates & Agent Configurations

Verified installs0
Stars938
Version1.0.0
Quality100/100 · Excellent
Trust86/100 · Review then install
Audit94/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + Cursor + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add TechNomadCode/AI-Product-Development-Toolkit

Maintenance

fresh

3d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

938

100/100 Quality · 89/100 Trust

Coverage tags

CodingCoding agentscoding-agentsprompt-templatesagent-configs

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
86

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
94

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

938 GitHub stars

Repo activity

938 stars, 157 forks

Maintenance

3d since push

License

MIT

Install

npx skills add TechNomadCode/AI-Product-Development-Toolkit

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add TechNomadCode/AI-Product-Development-Toolkit
Policy
allow
Human review
no

Trust and risk

Trust
86/100
Audit
94/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add TechNomadCode/AI-Product-Development-Toolkit
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • No major trust warnings detected from available metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Alternative

Code Review

168.6K Stars

npx skills add mattpocock/skills --skill code-review

Alternative

Grill With Docs

164.7K Stars

npx skills add mattpocock/skills --skill grill-with-docs

Alternative

To Spec

164.7K Stars

npx skills add mattpocock/skills --skill to-spec

Alternative

To Tickets

176.7K Stars

npx skills add mattpocock/skills --skill to-tickets

Agent safety v2

86/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install technomadcode-ai-product-development-toolkit

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20AI%20Product%20Development%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20AI%20Product%20Development%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/technomadcode-ai-product-development-toolkit/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use AI Product Development Toolkit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AI%20Product%20Development%20Toolkit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/technomadcode-ai-product-development-toolkit/install
Install command: npx skills add TechNomadCode/AI-Product-Development-Toolkit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/technomadcode-ai-product-development-toolkit/install

LLM text format

/api/skills/technomadcode-ai-product-development-toolkit/install?format=text

Find alternatives

/api/skills/search?q=AI%20Product%20Development%20Toolkit&limit=3

Agent prompt

Use AI Product Development Toolkit for this task. Review https://www.openagentskill.com/api/skills/technomadcode-ai-product-development-toolkit/install, then install with: npx skills add TechNomadCode/AI-Product-Development-Toolkit

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/technomadcode-ai-product-development-toolkit

LLM text

/api/registry/manifest/technomadcode-ai-product-development-toolkit?format=text

Install alias

/api/registry/install/technomadcode-ai-product-development-toolkit

Recommend

/api/registry/recommend?task=Use%20AI%20Product%20Development%20Toolkit%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Coding agents

Use-case tags

Coding agentsWorkflow automationGitHub automation

Platforms

Claude Code, Cursor

Audit report

Safe to try · 94/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 938 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 12 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

86
OpenAgentSkill Trust Score

GitHub adoption

INFO

938 GitHub stars

Stars/forks activity

INFO

938 stars, 157 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
938
Freshness
3d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Code Review

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Adopt
Ready100
Quality100
Stars168.6K

Grill With Docs

A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

Adopt
Ready100
Quality100
Stars164.7K

To Spec

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

Adopt
Ready100
Quality100
Stars164.7K

To Tickets

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

Adopt
Ready100
Quality100
Stars176.7K

Overview

# AI Product Development Toolkit

Welcome to my personal collection of prompt templates, AI agent configurations and more. This repository serves as a central place to store, organize, and share tools for AI-driven software development, guiding projects from initial idea to working MVP.

## About This Repository

This repository is organized into two primary sections:

* **Prompt Templates (`prompt-templates/`):** Interactive conversational prompts for product planning, specs, UX flows, and task generation. * **Agent Configurations (`agent-configs/`):** Behavioral rules, system instructions, and configuration files for AI coding assistants like Claude Code and Cursor. * **Game Dev Pipeline (3D Assets) (`3D-asset-pipeline`):** Hybrid 3D game asset development pipeline designed for creators with **zero manual Blender experience**.

## High-Level Workflow

The toolkit supports an end-to-end development process:

1. **Product Planning:** Define PRDs, UX flows, MVP concepts, and more using templates in [`prompt-templates/`](./prompt-templates/). 2. **Agent Execution:** Configure your coding assistant using files found in [`agent-configs/`](./agent-configs/). 3. **State Management:** Distill long chat sessions into continuation plans when context windows get full. 4. **Game Development:** Set up a 3D asset pipeline with AI. [`3D-asset-pipeline`](./3D-asset-pipeline-game-dev/).

## Repository Structure

For detailed instructions on using specific tools, refer to the documentation inside each main directory:

* **[Prompt Templates Directory (`prompt-templates/`)](./prompt-templates/README.md)** * **[Agent Configurations Directory (`agent-configs/`)](./agent-configs/README.md)** * **[3D-Asset Pipeline Directory (`agent-configs/`)](./3D-asset-pipeline/README.md)**

⚠️ **Readme files in subfolders contain crucial usage details for specific tools - review them before running prompts or copying configs.**

## How I Designed These

I use official documentation, A

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Aug 18, 2026

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

938 GitHub stars

Audit

Install review

Install and adoption review

94
Safe to try
Security
89/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for AI Product Development Toolkit, ready for a manual X post.

Curator note
AI Product Development Toolkit: A collection of prompt templates and agent configurations for AI-driven product development,...

938 stars

https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit?ref=x
Open X draft
Optional reply with install command
Listing + install path for AI Product Development Toolkit:
https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit?ref=x

Install: npx skills add TechNomadCode/AI-Product-Development-Toolkit
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to TechNomadCode but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/technomadcode-ai-product-development-toolkit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/technomadcode-ai-product-development-toolkit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/technomadcode-ai-product-development-toolkit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/technomadcode-ai-product-development-toolkit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/technomadcode-ai-product-development-toolkit)
Preview badge Open audit Creator kit

Author

T

TechNomadCode✓

@technomadcode

Tags

prompt-templatesagent-configsproduct-developmentclaude-codecursor

Platform fit

Claude CodeCursor

Health signals

GitHub stars
938
Quality score
64/100
Last GitHub push
Aug 18, 2026
Framework hints
Unknown
OpenAgentSkill views
12
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

86
  • GitHub adoption938 GitHub starsINFO
  • Stars/forks activity938 stars, 157 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

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Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

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InstallView on GitHub