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
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 cases: research, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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.
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Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- 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
- Repository
- github.com/terra0rg/tflow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
tflow-skill-idea. Agent Mart. https://agentmart.dev/skills/terra0rg-tflow-skill-idea (last updated 2026-10-24)