skill-adapter

Analyzes existing plugins to extract their capabilities, then adapts and applies those skills to the current task. Acts as a universal skill chameleon that learns from other plugins.

1.00x

Quality

Does it follow best practices?

Impact

94%

1.00x

Average score across 9 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./backups/skills-migration-20251108-070147/plugins/examples/pi-pathfinder/skills/pi-pathfinder/SKILL.md

Evaluation results

95%

Code Quality Automation for a Node.js Monorepo

Plugin discovery and structured extraction

Criteria

Without context

With context

Searched plugins dirs

50%

75%

Command file extraction

100%

Agent file extraction

100%

Skill file extraction

100%

Script file extraction

100%

Named plugins analyzed

100%

Patterns extracted listed

100%

Adaptation described

100%

Why approach chosen

60%

70%

Limitations stated

100%

Did not modify plugins

100%

99%

Automated Deployment Pipeline for a Python Web Service

Multi-plugin synthesis and selection criteria

Criteria

Without context

With context

Multiple plugins examined

100%

Approaches merged

100%

Relevance criterion applied

100%

Quality/simplicity criterion applied

75%

87%

Plugin rejected or downweighted

100%

Syntax/commands adapted

100%

Complexity simplified

77%

100%

Context-specific adaptation

100%

Sources transparently listed

100%

Adaptation limitations noted

100%

No plugin files modified

100%

Automated Alerting and Test Reporting for a Backend Service

Limitations identification and transparency reporting

Criteria

Without context

With context

MCP plugin flagged

100%

MCP limitation stated

100%

API-key plugin flagged

90%

100%

API limitation stated

100%

Compatible plugin used

100%

Plugins analyzed listed

100%

Patterns extracted described

100%

Adaptation method explained

100%

Why approach chosen

100%

All limitations documented

100%

Plugins not modified

100%

98%

-2%

Log Aggregation Setup for a Distributed Service

Recency, popularity, and script pattern extraction

Criteria

Without context

With context

Recency criterion applied

100%

Popularity/featured criterion applied

100%

Script logic extracted

100%

Script error handling noted

100%

Script best practices identified

100%

75%

Infeasible plugin identified

100%

Multiple plugins compared

100%

Correct output file name

100%

Error count per service

100%

Service prefix in output

100%

Plugins not modified

100%

97%

Database Backup Automation for a PostgreSQL Production System

Enhancement and contextualization of adapted skills

Criteria

Without context

With context

Core logic preserved

100%

Port contextualized

100%

Backup directory contextualized

100%

Non-zero exit error handling added

66%

Empty file check added

100%

User feedback on success

100%

S3 upload removed

100%

Adaptation notes: core kept

100%

Adaptation notes: changes explained

100%

Adaptation notes: enhancements described

100%

Cloud-sync plugin addressed

100%

Plugins not modified

100%

97%

Plugin Ecosystem Catalog for a New Engineering Team

Meta-learning catalog and ecosystem mapping

Criteria

Without context

With context

All plugins cataloged

100%

Task types identified

100%

Cross-plugin patterns section present

100%

At least one shared pattern identified

100%

Ecosystem relationships section present

100%

At least one relationship described

100%

Recommendation table present

100%

Recommendations have rationale

100%

Script-level patterns referenced

100%

Plugins not modified

100%

Most reusable patterns noted

55%

66%

76%

Security Scan Automation for a Flask API

Grep-based plugin keyword search and extraction

Criteria

Without context

With context

grep plugin.json search

grep *.md search

Command file methodology extracted

100%

Script error handling extracted

90%

100%

Input/output patterns noted

100%

Security scan artifact produced

100%

Plugins analyzed listed

100%

Patterns extracted described

100%

Why approach chosen

100%

Plugins not modified

100%

91%

Deployment Automation for a Node.js Microservice

Task analysis step documentation before plugin search

Criteria

Without context

With context

Core capability named

70%

90%

Domain determined

70%

100%

Requirements/constraints listed

10%

20%

Commands extracted

100%

Agents extracted

100%

Skills extracted

100%

Scripts extracted

100%

Deployment artifact produced

100%

Plugins analyzed named

100%

Plugins not modified

100%

Database Backup Automation for a Python Django Application

Environment compatibility and cross-language skill adaptation

Criteria

Without context

With context

Core backup logic preserved

100%

Syntax adapted to target environment

100%

Tool names adapted

90%

100%

Error handling enhanced

100%

User feedback added

100%

Unnecessary complexity removed

100%

Environment contextualized

100%

Adaptation notes present

100%

Plugins analyzed listed

100%

Plugins not modified

100%

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 3e83543

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Code Quality Automation for a Node.js Monorepo Automated Deployment Pipeline for a Python Web Service Automated Alerting and Test Reporting for a Backend Service Log Aggregation Setup for a Distributed Service Database Backup Automation for a PostgreSQL Production System Plugin Ecosystem Catalog for a New Engineering Team Security Scan Automation for a Flask API Deployment Automation for a Node.js Microservice Database Backup Automation for a Python Django Application

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