Agent skill

Idea Os

by sickn33 in sickn33/agentic-awesome-skills

Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased…

MITAuto-check passedProduct & Project Management

Install Idea Os

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill idea-os -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills idea-os --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea-os .claude/skills/idea-os && 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
idea-os
GitHub stars
47k
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
722 words
Files
1
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased…

  • Works in 5 steps: Triage → Clarify → Research → …
  • Tasks that involve PRD writing
  • SKILL.md covers Overview, When to Use, How It Works and Limitations, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Idea Os is an agent skill from sickn33/agentic-awesome-skills. Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.

Its SKILL.md is about 1.5k 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, Requirements gathering and Deep research. It works with Mermaid. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve PRD writing
  • Tasks that involve Requirements gathering
  • Tasks that involve Deep research

Example prompts

  • “/idea-os”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Triage
  2. Clarify
  3. Research
  4. PRD
  5. Plan

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. 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

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Idea Os loads about 1.5k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 722 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 722 words, ~1,479 tokens.

Download SKILL.mdSave it as .claude/skills/idea-os/SKILL.md (or your agent's skills folder).
name
idea-os
description
Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.
category
product-management
risk
safe
source
community
source_repo
Slashworks-biz/idea-os
source_type
community
date_added
2026-04-18
author
Slashworks-biz
tags
product-management, prd, market-research, mvp, idea-validation, jtbd, swot, competitor-analysis, founder, non-technical
tools
claude, cursor, gemini
license
MIT

idea-os

An operating system for turning a raw idea into a build-ready plan. Takes a rough problem statement and produces four files: clarifying questions, deep research, a PRD, and a phased execution plan with platform/stack picks, a user-journey diagram, and kill criteria.

Overview

idea-os is a 5-phase sequential pipeline where each phase's output feeds the next — research shapes the PRD, PRD shapes the plan, plan's kill criteria tie back to research insights. Unlike single-command PRD generators, idea-os refuses to write a PRD until research is done, and refuses to write a plan until the PRD is stable. Depth and vocabulary adapt to a two-axis classification (complexity × builder sophistication) so a first-time builder isn't drowning in jargon and a founder gets full rigor.

Source: https://github.com/Slashworks-biz/idea-os — full skill, 11 reference files, 4 asset templates, and a 590-line worked example.

When to Use

  • Use when a user shares a raw product idea or problem statement and wants a structured pipeline from clarifying questions through deep research, PRD, and a phased execution plan.
  • Use when the user says "I have an idea for…", "help me build X", "validate and plan this concept", or "what should I build?" — and wants files they can take forward, not a one-shot answer.
  • Use when a non-technical founder, PM, or hobbyist needs structure to bridge the gap between "idea" and "Monday morning's build queue".
  • Do not use for quick sanity-check feedback on a half-formed idea (use idea-refine instead) or for editing an existing PRD (use product-management instead).

How It Works

Phase 1 — Triage

Classify the idea on two axes before anything else. Depth of research/PRD/plan and question count scale with complexity; vocabulary scales with sophistication.

  • Idea tier (T1/T2/T3) — T1 = weekend utility, T2 = SaaS MVP or AI wrapper, T3 = marketplace / B2B SaaS / regulated.
  • Sophistication (S1/S2/S3) — S1 = non-technical, no framework names; S2 = hobbyist, introduce frameworks with definitions; S3 = founder/senior PM, full vocabulary.

State the classification in one line (e.g. "T2 · S2 — moderate SaaS, builder has shipped before") before proceeding.

Phase 2 — Clarify

Write questions.md with 4–18 questions (count scales with complexity), grouped: Who and Pain · Scope and Wedge · Constraints and Goals. Every question must be actionable — the answer has to change what you build. Generic questions are rejected.

After writing, stop and wait for answers. Do not proceed to research until answered or autonomous-mode assumptions are declared.

Phase 3 — Research

Write research.md using WebSearch + WebFetch. Minimum: 5 WebSearches, 2 WebFetches on named competitors, 1 source per TAM number, date on every source. Anything unsourced gets flagged [assumption].

Required sections: problem validation, JTBD, market (TAM/SAM/SOM top-down + bottom-up), competitors (direct/indirect/substitutes + positioning map), SWOT, distribution (first-100-users channel fit), risks, and 3–7 non-obvious insights.

Show full SKILL.md (283 more words)Show less
Phase 4 — PRD

Write PRD.md with: falsifiable problem statement, named personas, ranked JTBD, non-goals (mandatory — it's where bad PRDs die), leading and lagging metrics.

Phase 5 — Plan

Write plan.md with: user journey (text + mermaid), platform recommendation tied to research findings, stack in conservative/modern/cutting-edge matrix, phased build (MVP → v1 → target) with kill criteria per phase and first-100-users distribution per phase, metrics per phase, and 3–5 immediate next actions.

Limitations

  • Requires user input between phases for best results; if answers are missing, outputs depend on explicit assumptions.
  • Produces planning artifacts (questions.md, research.md, PRD.md, plan.md) but does not execute build or deployment work.
  • Source quality determines output quality; weak or outdated references can reduce recommendation accuracy.
  • Better suited to new-idea validation and early planning than late-stage optimization of an existing shipped product.

Examples

Example 1: Non-technical founder with a consumer-app idea

User: "I want to build a habit tracker for people with ADHD."

idea-os classifies T2 · S1, writes 8 plain-language clarifying questions, runs research with sourced competitor pricing and community signal from ADHD subreddits, produces a PRD with ADHD-specific non-goals (no streaks, no punishment mechanics), and a plan with a single-screen MVP and a kill criterion tied to 14-day retention.

Example 2: Founder with a B2B SaaS idea

User: "I'm thinking about procurement software for mid-market manufacturers."

idea-os classifies T3 · S3, writes 18 questions including procurement-cycle specifics, runs research with Wardley-map option and Porter 5 forces, produces a PRD with tiered personas (buyer/approver/IT), and a plan with a phase-1 kill criterion tied to paid-pilot close rate.

Full source

Full 11-reference skill, 4 asset templates, worked example, and MIT license at https://github.com/Slashworks-biz/idea-os. This antigravity entry is a reference copy — the upstream repo is where ongoing development lives.

© sickn33, 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/idea-os of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Idea Os 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.

Idea Os compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Idea Os this skillsickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
B2B PRD GeneratorpmYangKun/create-prd-skill348—~879Automated safety check: PassNone
Design Decknicobailon/pi-design-deck291—~4.3kAutomated safety check: PassNone
PRD GeneratorFokkyp/claude-skills226—~1.9kAutomated safety check: PassNone
Discover Journey Mapproduct-on-purpose/pm-skills715—~3kAutomated safety check: PassApache-2.0
User Journey Mapmohitagw15856/pm-claude-skills1.4k—~797Automated safety check: PassMIT

Similar skills

  • B2B PRD Generator

    pmYangKun/create-prd-skill

    Writes a structured first draft of a B2B product requirements document from your business context, chapter by chapter, with Mermaid diagrams.

    348 GitHub stars~879 tokensUpdated 4 mo ago
    Product & Project ManagementAuto-check passed
  • Design Deck

    nicobailon/pi-design-deck

    Present visual options for architecture, UI, and code decisions with high-fidelity side-by-side previews.

    291 GitHub stars~4.3k tokensUpdated 2 mo ago
    Product & Project ManagementAuto-check passed
  • PRD Generator

    Fokkyp/claude-skills

    Guides a product manager from a rough idea to a structured PRD through interview questions, competitor research, module feedback and iterative revision.

    226 GitHub stars~1.9k tokensUpdated 6 mo ago
    Product & Project ManagementAuto-check passed
  • Discover Journey Map

    product-on-purpose/pm-skills

    Maps a customer journey across stages, touchpoints, emotional curve, pain points, and moments of truth into a markdown artifact with an optional mermaid timeline or flowchart.

    715 GitHub stars~3k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed
  • User Journey Map

    mohitagw15856/pm-claude-skills

    Map a user's journey through a product or experience, phase by phase, with their actions and how they feel.

    1.4k GitHub stars~797 tokensUpdated today
    Product & Project ManagementAuto-check passed
  • Product Manager

    staruhub/ClaudeSkills

    资深产品经理助手,提供 PRD/MRD/BRD 创作与评审、产品策略、留存增长、竞品分析、功能优先级,以及 grill-me-to-doc 逐轮访谈。用户要求“逐个问我”“先把需求问清楚”“grill me”“把想法变成产品文档”时进入 grill-me-to-doc:先读仓库证据,每轮只问一个决策,给推荐答案与理由,记录决策和未决项,支持 resume,产出结构化…

    727 GitHub stars~2.1k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,493 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Works with

Questions about Idea Os

What does Idea Os do?

Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased…. Idea Os is an agent skill from sickn33/agentic-awesome-skills. Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.

When should I use Idea Os?

Idea Os fits situations like: tasks that involve PRD writing; tasks that involve Requirements gathering; tasks that involve Deep research.

How do I install Idea Os in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill idea-os -a claude-code`. Or copy the skill folder (skills/idea-os in sickn33/agentic-awesome-skills) into .claude/skills/idea-os in your project. Claude Code loads it when a task matches its description.

How do I install Idea Os in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill idea-os -a codex`. Or copy the skill folder (skills/idea-os in sickn33/agentic-awesome-skills) into .agents/skills/idea-os in your project. Codex loads it when a task matches its description.

Can I use Idea Os 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 sickn33/agentic-awesome-skills --skill idea-os -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-os, .gemini/skills/idea-os, .github/skills/idea-os and .opencode/skills/idea-os in your project.

What does Idea Os need to run?

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

Does Idea Os access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Idea Os 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 Idea Os use?

Idea Os is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Idea Os use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Idea Os?

Skills that share tags, products or a category with Idea Os: B2B PRD Generator (pmYangKun/create-prd-skill, 348 stars), Design Deck (nicobailon/pi-design-deck, 291 stars), PRD Generator (Fokkyp/claude-skills, 226 stars) and Discover Journey Map (product-on-purpose/pm-skills, 715 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Idea Os?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.