Agent skill · Workflow & Productivity

Predictive Skill Loading

Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill predictive-skill-loading-bejranonda-llm-autonomous-agent --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/agent/predictive-skill-loading-bejranonda-llm-autonomous-agent/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

# Predictive Skill Loading ## Overview This skill enables the autonomous agent to predict and pre-load the optimal set of skills **before** task execution begins, dramatically reducing load time from 3-5 seconds to 100-200ms and token usage by 87%. ## When to Apply - **At task initialization**: Before analyzing task requirements - **For similar tasks**: When pattern database has 3+ similar historical tasks - **With high confidence**: When similarity score >= 70% - **Background loading**: While orchestrator analyzes task details ## Core Concepts ### Task Fingerprinting Generate unique fingerprints from task characteristics: ```python Task Features: - Type (refactoring, testing, security, etc.) - Context keywords (auth, database, API, etc.) - Language (Python, JavaScript, TypeScript, etc.) - Framework (React, FastAPI, Django, etc.) - Complexity (low, medium, high) Fingerprint Example: "type:refactoring|lang:python|fw:fastapi|complexity:medium|kw:auth|kw:database" ``` ### Pattern Matching Strategy **Similarity Calculation**: ``` Similarity Score = Type Match (35%) + Language Match (25%) + Framework Match (20%) + Complexity Match (10%) + Keyword Overlap (10%) Thresholds: - 95-100%: Exa

What's inside
Steps it walks through
  1. Overview
  2. When to Apply
  3. Core Concepts
  4. Task Fingerprinting
  5. Pattern Matching Strategy
  6. Three-Tier Loading Strategy
  7. Implementation Algorithm
  8. Step 1: Generate Fingerprint - WITH SAFETY VALIDATION
  9. Step 2: Query Pattern Database - WITH SAFETY VALIDATION
  10. Step 3: Aggregate Skill Scores - WITH SAFETY VALIDATION
  11. Step 4: Pre-load in Background - WITH SAFETY VALIDATION
  12. Performance Metrics
  13. Before Predictive Loading:
  14. After Predictive Loading:
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the Predictive Skill Loading skill do?

Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill predictive-skill-loading-bejranonda-llm-autonomous-agent --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.

Keep going