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Agent skill

Idea Discovery

by muratgur in muratgur/ordinus

Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan.

MITAuto-check passedAgent Workflows

Install Idea Discovery

skills CLI
$ npx skills add muratgur/ordinus --skill idea-discovery -a claude-code

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

GitHub CLI
$ gh skill install muratgur/ordinus idea-discovery --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/muratgur/ordinus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/idea-discovery .claude/skills/idea-discovery && 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-discovery
GitHub stars
113
Token cost
~851 tokens
SKILL.md length
431 words
Files
2
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan.

  • Tasks that involve Architecture decision records
  • SKILL.md covers Discovery Loop, Areas To Explore and Closing Summary
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Planning

What it does

Idea Discovery is an agent skill from muratgur/ordinus. Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan. Use at the beginning of product or architecture decisions when Codex should challenge assumptions, compare alternatives, inspect relevant docs or code, and help shape a clear recommendation without immediately writing an ADR or implementation plan.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Architecture decision records and Planning. The repository describes itself as: Your local-first command center for working with AI agents like a real team. The licence is MIT.

When your agent uses it

  • Tasks that involve Architecture decision records
  • Tasks that involve Planning

Example prompts

  • “/idea-discovery”

What it can do on your machine

Read from SKILL.md and the folder at commit c27f289. 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

Idea Discovery loads about 851 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 431 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~851

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 muratgur/ordinus at commit c27f289, republished under its MIT licence (© muratgur). 431 words, ~851 tokens.

Download SKILL.mdSave it as .claude/skills/idea-discovery/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
idea-discovery
description
Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan. Use at the beginning of product or architecture decisions when Codex should challenge assumptions, compare alternatives, inspect relevant docs or code, and help shape a clear recommendation without immediately writing an ADR or implementation plan.

Idea Discovery

Act as a critical thinking partner, not an approval machine. Help the user understand whether an idea is worth pursuing, how it fits the existing product and architecture, and what decision they actually need to make.

Do not create an implementation plan or ADR unless the user explicitly asks for one.

Discovery Loop

Start by restating the idea at a high level and identifying the likely decision being explored.

Then explore the idea step by step using focused questions. Ask one question at a time.

For each question:

  • Explain why the question matters.
  • Provide your recommended answer or direction.
  • Mention meaningful alternatives when relevant.
  • Highlight risks, trade-offs, and hidden assumptions.
  • Inspect existing code, docs, designs, issues, or ADRs when they can answer the question better than the user can.

Keep the conversation moving toward a clear decision. When the idea is vague, help shape it. When the idea is weak, say so clearly and explain why. When several valid paths exist, compare them directly.

Areas To Explore

Use the areas below when relevant. Do not force every area into every conversation.

Problem Clarity
  • Identify the problem being solved.
  • Test whether the problem is real or only interesting.
  • Name who feels the pain and how often.
  • Separate user pain from implementation curiosity.
Fit With Existing Work
  • Check alignment with the current product direction.
  • Look for existing features, docs, workflows, or architecture that already cover the need.
  • Identify whether the idea adds useful structure or unnecessary complexity.
  • Consider whether it fits the current runtime, UI, persistence, IPC, and workflow boundaries.
Show full SKILL.md (171 more words)Show less
Alternative Solutions
  • Compare simpler or manual options.
  • Identify what can be postponed.
  • Find the smallest useful version.
  • Prefer reversible, observable changes when the problem is not yet proven.
User And Business Value
  • Name who benefits and what changes for them after the idea exists.
  • Test whether the value is obvious enough to justify product and maintenance cost.
  • Classify the idea as core feature, supporting feature, infrastructure, or distraction.
Technical Direction
  • Identify affected system areas such as data model, IPC contract, UI, runtime, provider adapter, database, or docs.
  • Surface risky technical decisions and integration points.
  • Validate assumptions against existing repository files before asking the user.
  • Separate decisions that must be made now from details that can wait.
Decision Shaping
  • State the actual decision being made.
  • Compare the viable options.
  • Recommend one option and explain why.
  • Capture assumptions and trade-offs that would belong in an ADR if the user later asks for one.

Closing Summary

After enough exploration, summarize concisely:

  • Refined idea
  • Main options considered
  • Recommended direction
  • Key trade-offs
  • Open questions
  • ADR-worthy decisions

© muratgur, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .codex/skills/idea-discovery of muratgur/ordinus.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit c27f289

Compare with similar skills

Idea Discovery 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 Discovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Idea Discovery this skillmuratgur/ordinus113—~851Automated safety check: PassMIT
Plan Previewu-ichi/reviewable-html-workbench2981 repos~1.8kAutomated safety check: PassMIT
Manual Planningfjrevoredo/mini-diarium308—~3.7kAutomated safety check: PassMIT
Idea To Implementation DocAkoliteZA/hermes-agent-idea-workflow271—~3.1kAutomated safety check: PassMIT
Designsynnaxlabs/synnax128—~4.5kAutomated safety check: PassCustom licence
Review Planadamayoung/TMDb178—~3.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Idea Discovery

What does Idea Discovery do?

Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan. Idea Discovery is an agent skill from muratgur/ordinus. Explore a new feature, product idea, technical design, workflow change, or ADR candidate before committing to an implementation plan.

When should I use Idea Discovery?

Idea Discovery fits situations like: tasks that involve Architecture decision records; tasks that involve Planning.

How do I install Idea Discovery in Claude Code?

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

How do I install Idea Discovery in Codex?

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

Can I use Idea Discovery 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 muratgur/ordinus --skill idea-discovery -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-discovery, .gemini/skills/idea-discovery, .github/skills/idea-discovery and .opencode/skills/idea-discovery in your project.

What does Idea Discovery need to run?

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

Does Idea Discovery 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 Idea Discovery 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 Discovery use?

Idea Discovery 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 Idea Discovery use?

About 851 tokens (SKILL.md is roughly 3.4k 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 Idea Discovery?

Skills that share tags, products or a category with Idea Discovery: Plan Preview (u-ichi/reviewable-html-workbench, 298 stars), Manual Planning (fjrevoredo/mini-diarium, 308 stars), Idea To Implementation Doc (AkoliteZA/hermes-agent-idea-workflow, 271 stars) and Design (synnaxlabs/synnax, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Idea Discovery?

muratgur (a GitHub user) maintains it in muratgur/ordinus, which has 113 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 3, 2026.

Source: muratgur/ordinus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.