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rawwerks
GitHub-Creator-Profil

rawwerks

Repository-Ansicht von 25 gesammelten Skills in 8 GitHub-Repositories.

gesammelte Skills
25
Repositories
8
aktualisiert
15. Juli 2026
Repository-Explorer

Repositories und repräsentative Skills

agent-skills-context-engineering
Softwareentwickler

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

6. Juni 2026
book-sft-pipeline
Datenwissenschaftler

This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or mentions style transfer, LoRA training, book segmentation, or author voice replication.

2. Juni 2026
digital-brain-skill
Sekretäre und Verwaltungsassistenten (außer Rechts-, Medizin- und Führungsbereich)Leitungssekretäre und Führungskräfte-Assistenten

This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.

2. Juni 2026
advanced-evaluation
Softwarequalitätssicherungsanalysten und -tester

Production-grade techniques for evaluating LLM outputs using LLMs as judges. Use when implementing LLM-as-judge, comparing model outputs, creating evaluation rubrics, mitigating evaluation bias, or building automated quality assessment pipelines.

12. Jan. 2026
bdi-mental-states
Datenwissenschaftler

Transforms external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. Use when modeling agent mental states, implementing BDI architecture, transforming RDF to beliefs, or building cognitive agents with…

12. Jan. 2026
context-compression
Softwareentwickler

Strategies for compressing context when agent sessions exceed limits. Use when compressing context, summarizing conversation history, implementing compaction, reducing token usage, or optimizing tokens-per-task for long-running agent sessions.

12. Jan. 2026
context-degradation
Softwareentwickler

Predictable degradation patterns as context length increases, including lost-in-middle phenomena and context poisoning. Use when diagnosing context problems, fixing lost-in-middle issues, debugging agent failures, or understanding attention patterns and…

12. Jan. 2026
context-fundamentals
Softwareentwickler

Complete state available to a language model at inference time, including system instructions, tool definitions, retrieved documents, and message history. Use when understanding context, explaining context windows, designing agent architecture, or learning…

12. Jan. 2026
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