tsf-run
Streamlines running TSF paperkit experiments and ablations via CLI automation.
Install
mkdir -p .claude/skills/tsf-run && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12595" && unzip -o skill.zip -d .claude/skills/tsf-run && rm skill.zipInstalls to .claude/skills/tsf-run
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when the user wants to create, validate, run, or ablate tsf-paperkit experiment configs from natural-language intent.Key capabilities
- →Inspect or create a YAML config under `configs/`.
- →Prefer toy/smoke settings for experiments.
- →Run `python -m tsf_paperkit.cli run --config <config>`.
- →Run `python -m tsf_paperkit.cli ablate --config <config>` for ablations.
- →Report output directory, resolved config, results CSV, and actionable failures.
How it works
The skill translates natural language intent into `tsf-paperkit` experiment configurations, runs the experiments, and reports the results.
Inputs & outputs
When to use tsf-run
- →Running a smoke test experiment
- →Ablating configuration parameters
- →Validating experiment config files
About this skill
tsf-run
Goal: turn user intent into small reproducible TSF runs.
Workflow:
- Inspect or create a YAML config under
configs/. - Prefer toy/smoke settings unless the user explicitly requests larger runs.
- Run
python -m tsf_paperkit.cli run --config <config>. - For ablations, run
python -m tsf_paperkit.cli ablate --config <config>. - Report output directory, resolved config, results CSV, and any actionable failure.
Rules:
- Do not silently change experiment settings; record resolved config.
- Do not claim toy/smoke results are benchmark results.
When not to use it
- →When the user wants to run experiments outside of `tsf-paperkit`.
- →When the user wants to perform benchmark runs with toy/smoke settings.
Limitations
- →The skill is specific to `tsf-paperkit` experiment configs.
- →The skill does not silently change experiment settings.
- →The skill does not claim toy/smoke results are benchmark results.
How it compares
This skill automates the creation, validation, and execution of `tsf-paperkit` experiments from natural language, unlike manually configuring and running experiments.
Compared to similar skills
tsf-run side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| tsf-run (this skill) | 0 | 2mo | No flags | Intermediate |
| robotics-code-generator | 14 | 8mo | No flags | Advanced |
| modal | 5 | 7mo | Review | Intermediate |
| hugging-face-cli | 3 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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