Agent skill · Data & Analytics

learn-timeout

General-purpose timeout estimation skill. Trains dual models (duration regression + risk classification) from corpus data and observation feedback. Returns calibrated timeout predictions with confidence intervals for any task type.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill learn-timeout --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/ai-ml/learn-timeout/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Learn Timeout General-purpose timeout estimation that replaces fragmented Ridge/Logistic models with a unified GradientBoosting-based predictor. ## Commands ```bash ./run.sh collect # Gather training data from all sources ./run.sh train # Train both models ./run.sh predict '{"task_type":"pdf_extraction","page_count":400}' ./run.sh observe --task-id X --actual-seconds Y ./run.sh status # Model health dashboard ./run.sh benchmark # Classifier-lab backbone comparison ``` ## Prediction Output ```json { "estimated_seconds": 4200, "confidence_interval": [2800, 6300], "risk_probability": 0.35, "risk_label": "medium", "recommended_timeout_seconds": 6300, "features_used": ["page_count", "table_pages", "domain"], "model_version": "2026-02-13_v1", "duration_model_available": true, "risk_model_available": true } ``` ## Task Types | task_type | Key Features | |-----------|-------------| | `pdf_extraction` | page_count, tables, figures, file_size, domain | | `llm_api_call` | prompt_tokens, model, provider, image_count | | `subprocess` | command_type, input_size, complexity_hints | | `remediation` | issue_count, issue_severity, skill_name | ## Training Data Sources - Corpus `profile.json` + `ti

What's inside
Steps it walks through
  1. Commands
  2. Prediction Output
  3. Task Types
  4. Training Data Sources
Ships with 1 file
  • metadata.json
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About this skill
What does the learn-timeout skill do?

General-purpose timeout estimation skill. Trains dual models (duration regression + risk classification) from corpus data and observation feedback. Returns calibrated timeout predictions with confidence intervals for any task type.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill learn-timeout --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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