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$ show anthropics/skills

[account ↗] [repo ↗] APPLICATION ★ 179305 21194 ● active (last update 2 weeks ago)
reviewed by: deepseek/deepseek-v4-flash

This repository is a collection of Claude/Anthropic skills and platform documentation rather than a standalone application. It contains skill definitions (SKILL.md files), MCP server evaluation guidance, managed-agents documentation, and supporting tooling such as schema definitions and build scripts. The dominant character is developer-facing content and reusable patterns for building LLM agents, with some executable scripts for validation and report generation. It provides structured output schemas for evaluation pipelines (grading, benchmark, comparison, analysis), a validator hierarchy for XML/XSD-based skill files, and a security-conscious file I/O example in build-report-lite.mjs. It also documents managed agents, platform availability, and MCP best practices. The repository is not a data research project; there are no notebooks, data pipelines, or model training scripts. Maintenance is active, but technical drift is medium due to version-sensitive SDK references, manually maintained platform availability tables, and multiple language-specific examples that must be kept in sync. The code and schemas are generally well-structured and reusable, though some paths are hardcoded and some documentation is tightly coupled to generator scripts.

RATING7.9/10
QUALITY7.5/10
MAINTENANCEactive
DRIFTmedium
CONTRIBUTORS16
VELOCITY0.49
OPEN ISSUES1392
CLOSED ISSUES52
LAST COMMIT2 weeks ago
Files by Type (count)
Markdown
122
Other (.xsd)
117
Python
70
Other (.ttf)
54
Text
47
XML
6
HTML
3
Other (.mjs)
2
Shell
2
JSON
1
Git Ignore
1
JavaScript
1
Files by Type (size)
Other (.ttf)
5MB
Other (.xsd)
2MB
Markdown
1MB
Python
689KB
Text
275KB
Other (.pdf)
121KB
HTML
71KB
Other (.mjs)
59KB
Other (.gz)
19KB
XML
11KB
Shell
11KB
JavaScript
7KB

The LLM identified 4 files worth highlighting for reuse:

Defines explicit JSON schemas for grading, benchmark, comparison, and analysis outputs. Reusable as a contract for any LLM evaluation pipeline; fields like pass_rate and structured criteria make results machine-checkable.

file: skill-creator/references/schemas.md ↗ | tags: #json-schema #evaluation #structured-output

Demonstrates a secure file-output pattern using O_NOFOLLOW, fstat-after-open, hard-link detection, and path containment. Extractable as a template for any tool that writes files based on untrusted or model-influenced input.

file: build-report-lite.mjs ↗ | tags: #security #file-io #nodejs

Well-structured validator hierarchy with BaseSchemaValidator providing common logic (XML parsing, namespace checks, unique IDs, file references, content types, XSD validation) and subclasses adding format-specific checks. Isolated enough to extract into a reusable validation library.

file: skill-creator/validator.py ↗ | tags: #validation #xml #python

Centralizes feature availability across Claude platforms. Although manually maintained, it is a reusable pattern for keeping multi-platform API docs consistent and is referenced by language-specific managed-agent guides.

file: skills/claude-api/shared/platform-availability.md ↗ | tags: #documentation #platform-matrix #single-source-of-truth
Last analyzed: 2026-10-01 20:45:43.245780
Next check: 2026-10-08 20:45:43.064625
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