Structflow
Evidence-first structural research for industries, companies, commodities, tradable assets, and policy systems. Use when the user requests StructFlow or needs a rigorous, source-grounded analysis of system boundaries, variables, causal drivers, feedback loops, nonlinear dynamics, regimes, market distortion, structural signals, or asset mapping. Run canonical input resolution, staged L0-L7 modeling, adversarial challenge, contradiction search, deterministic research gates, and auditable report generation. Use the host agent's model for reasoning; no separate LLM API key is required. Optional Ta
Install
npx skills add kings0527/structflow --skill structflowgit clone --depth 1 https://github.com/kings0527/structflow.git /tmp/structflow
mkdir -p ~/.claude/skills
cp -r /tmp/structflow/. ~/.claude/skills/structflowPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# StructFlow Build a falsifiable structural model from evidence, validate every stage, and publish only when hard gates pass. ## Use the bundled runtime Run commands from this skill directory: ```bash python scripts/structflow.py ... ``` If dependencies are unavailable, install this package once with `python -m pip install -e .`. Use the host agent's current model for every reasoning and generation step. Never request or configure an LLM API key and never call a second LLM from Python. Check optional provider configuration with `setup --check`. If Tavily or AnySearch is unavailable, use the host agent's search tools and import normalized results with `import-evidence`. Never ask the user to paste a key into chat. ## Load references as needed - Read [runtime-flow.md](references/runtime-flow.md) before executing a new analysis or repairing a blocked run. - Read [methodology.md](references/methodology.md) before generating profile or L0-L7 artifacts. - Read [evidence-policy.md](references/evidence-policy.md) when acquiring, importing, selecting, or citing evidence. - Read [tool-contract.md](references/tool-contract.md) when using commands, schemas, workspaces, modes, or provider-key setup. ## Execute the request Default to `full` mode. Use `core` when the user excludes L7 asset mapping. Use `validate-only` when the user supplies an existing draft for validation. Initialize the run and preserve its returned `run_dir`. If the result flags
Details
- Skill name
structflow- Repository
- kings0527/structflow
- Repo updated
- 31 July 2026
FAQ
What does the Structflow skill do?
Evidence-first structural research for industries, companies, commodities, tradable assets, and policy systems. Use when the user requests StructFlow or needs a rigorous, source-grounded analysis of system boundaries, variables, causal drivers, feedback loops, nonlinear dynamics, regimes, market distortion, structural signals, or asset mapping. Run canonical input resolution, staged L0-L7 modeling, adversarial challenge, contradiction search, deterministic research gates, and auditable report generation. Use the host agent's model for reasoning; no separate LLM API key is required. Optional Ta
How do I install the Structflow skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add kings0527/structflow --skill structflow. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Structflow popular?
It lives in kings0527/structflow, which has 6 GitHub stars and 0 forks.
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