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a5c-ai AI Skills

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Browse published AI skills maintained by a5c-ai. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

232

Repository stars across indexed skills

92,090

Repository forks

4,851

Average repository stars per indexed skill

397

Repository stars may repeat across skills from the same repository.

232 skills

Browse skills

GitHub

patrol-monitoring

a5c-ai

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

GitHub

codebase-sync

a5c-ai

Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.

GitHub

context-preservation

a5c-ai

State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.

GitHub

persistent-memory

a5c-ai

Observation capture and retrieval across sessions. Stores decisions, discoveries, and bugfix patterns. Searchable via tags and relevance scoring.

GitHub

systematic-debugging

a5c-ai

Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.

GitHub

vector-memory

a5c-ai

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

GitHub

systematic-debugging

a5c-ai

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Requires root cause investigation first.

GitHub

design-token-transformer

a5c-ai

Transform design tokens across multiple formats and platforms. Parse W3C design token format, transform to CSS/SCSS/JS/iOS/Android, handle token aliases and references, and generate documentation.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.