com um clique
algorithm-selection
// Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback.
// Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback.
Use this when the project needs real baseline results before or alongside the main model. Runs classical or literature-aligned baselines under the same protocol and writes a reproducible baseline summary.
Use this when the project needs a dedicated data-quality review before model review. Checks data reality, split correctness, label health, leakage risk, shape consistency, and mock-data disclosure.
Use this when the user wants a draft paper, figure bundle, README, release page, or experiment artifact reviewed before sharing. Checks evidence binding, claim scope, captions, layout clarity, and release readiness.
Use this when the user wants to improve chart quality, standardize plotting style, regenerate release figures, or add captions/protocol notes. Normalizes fonts, colors, legends, units, and scope notes across Scientify figures.
Use this when the user wants to improve README, docs pages, or microsites so a new reader can understand what the project is, how to use it, what artifacts exist, and what the scope boundaries are within one screen.
[Read when prompt contains /research-experiment]
| name | algorithm-selection |
| description | Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback. |
| metadata | {"openclaw":{"emoji":"🧭"}} |
Don't ask permission. Just do it.
Use this skill after /research-survey when there are several plausible ML approaches and the project needs a deliberate route choice instead of jumping straight into implementation.
Outputs go to the workspace root.
survey_res.md already existsSOUL.mdsurvey_res.mdknowledge/paper_*.md when availableIf survey_res.md is missing, stop and say: Run /research-survey first to complete the deep analysis.
selection_res.mdRead:
SOUL.mdsurvey_res.mdknowledge/paper_*.mdExtract:
Create 2-3 realistic candidate routes only. For each route, record:
Use references/candidate-template.md.
Choose:
Chosen RouteRejected RoutesFallback RouteThe fallback should be the route most likely to work if the chosen route underperforms or proves too expensive to implement.
selection_res.mdUse references/selection-template.md.
The final output must include:
SOUL.md.