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tflow-skill-idea

Use when a raw Agent Skill idea needs interactive shaping into a research-ready idea brief — surfacing the core purpose with Five Whys and a human-chosen…

Skill by terra0rg

IndexedMIT★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/terra0rg-tflow-skill-idea

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when a raw Agent Skill idea needs interactive shaping into a research-ready idea brief — surfacing the core purpose with Five Whys and a human-chosen direction before any research or authoring begins

Use cases: research, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Shell scripts

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/tflow-skill-idea

What's inside

Skill name
tflow-skill-idea
Description
Use when a raw Agent Skill idea needs interactive shaping into a research-ready idea brief — surfacing the core purpose with Five Whys and a human-chosen direction before any research or authoring begins
License
MIT
Compatibility
Portable Agent Skill source for Claude Code, OpenAI Codex, and runtimes that support SKILL.md; needs a human in the loop for the dialogue and no scripts or network access.
Instructions
47 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • SKILL.md
  • evals.json · evals/
  • idea-brief-schema.md · references/
  • run-tests.sh · tests/

SKILL.md (first lines)

# tflow Skill Idea

Use this skill to turn a raw skill idea into a research-ready idea brief
through a short interactive dialogue. It is Phase 1 of the tflow factory
pipeline and equally usable on its own. It is a methodology: no scripts,
no network access, only structured conversation ending in one artifact.

The output contract lives in
[idea brief schema](references/idea-brief-schema.md). Emit nothing else.

## Invocation

- **raw prompt** (required): the human's idea in their own words. Capture it
  verbatim before the dialogue starts; it becomes the `raw_prompt` field.
- **context** (optional): links, prior notes, or an existing skill the idea
  relates to.

## Dialogue

Ask one question at a time. Never batch questions, and never answer your own
question on the human's behalf.

1. Restate the raw prompt in one sentence and confirm the reading.
2. Apply Five Whys to find the core purpose: ask why the skill should
   exist, and each answer feeds the next why. Stop early the moment the
   root reason is clear — do not mechanically complete the count — and
   ask at most five whys in total.
3. Propose two or three candidate directions. Give each a one-line tradeoff
   and mark exactly one as the recommendation with the reason.
4. Let the human pick a direction, ask for one more round of options, or
   reject them all. Allow at most one extra round of directions.
5. Confirm the research mode with the human: `base` for a quick pass over the
   obvious sources, `deep` for a wide pass across competing approaches.
6. Draft `success_criteria` (observable outcomes) and `research_questions`
   (what research must answer) from the dialogue, read them back, and adjust
   until the human agrees.
7. Emit the idea brief exactly per the schema, then stop.

## Fail Closed

If the human abandons the dialogue, rejects every direction after the extra
round, or the core purpose is still unclear after five whys, stop and report
what is missing and what was learned so far. Do not emit an idea brief, and
never fill a field on the human's behalf. A partial brief is worse than no
brief: downstream phases treat every field as load-bearing.

From terra0rg/tflow, MIT.

Signals

Stars
3
Forks
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Open issues
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Last commit (this folder)
Jul 4, 2026 (3 months ago)
Last release
Jul 7, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from terra0rg

Cite this page

tflow-skill-idea. Agent Mart. https://agentmart.dev/skills/terra0rg-tflow-skill-idea (last updated 2026-10-24)