Topic: llm
10,059 skills in this topic.
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graph
Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".
zby/llm-do 18
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learn
Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".
zby/llm-do 18
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decomplect-py
Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.
zby/llm-do 18
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connect
Find connections between notes and update MOCs. Requires semantic judgment to identify genuine relationships. Use after /extract creates notes, when exploring connections, or when a topic needs synthesis. Triggers on "/connect", "/connect [note]", "find connections", "update MOCs", "connect these notes".
zby/llm-do 18
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decomplect-py
Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.
zby/llm-do 18
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rethink
Challenge system assumptions against accumulated evidence. Triages observations and tensions, detects patterns, generates proposals. The scientific method applied to knowledge systems. Triggers on "/rethink", "review observations", "challenge assumptions", "what have I learned".
zby/llm-do 18
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pipeline
End-to-end source processing -- seed, reduce, process all claims through reflect/revisit/review, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
zby/llm-do 18
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decomplect-py
Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.
zby/llm-do 18
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stats
Show vault statistics and knowledge graph metrics. Provides a shareable snapshot of vault health, growth, and progress. Triggers on "/stats", "vault stats", "show metrics", "how big is my vault".
zby/llm-do 18
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next
Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals. Recommends one specific action with rationale. Triggers on "/next", "what should I do", "what's next".
zby/llm-do 18
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review
Combined verification — recite (description quality via cold-read prediction) + validate (schema compliance) + review (health checks). Use as a quality gate after creating notes or as periodic maintenance. Triggers on "/review", "/review [note]", "verify note quality", "check note health".
zby/llm-do 18
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ralph
Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent context contamination. Supports serial, parallel, batch filter, and dry run modes. Triggers on "/ralph", "/ralph N", "process queue", "run pipeline tasks".
zby/llm-do 18
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tasks
View and manage the task stack and processing queue. Shows pending work, active tasks, completed items, and queue state. Triggers on "/tasks", "show tasks", "what's pending", "task list", "queue status".
zby/llm-do 18
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hello_world
A simple skill that greets the user
rscheiwe/open-skills 31
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text_summarizer
Summarizes long text into key bullet points
rscheiwe/open-skills 31
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systematic-debugging
JKHeadley/instar 48
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smart-web-fetch
JKHeadley/instar 48
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instar-scheduler
JKHeadley/instar 48
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command-guard
JKHeadley/instar 48
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credential-leak-detector
JKHeadley/instar 48
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instar-session
JKHeadley/instar 48
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agent-identity
JKHeadley/instar 48
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instar-telegram
JKHeadley/instar 48
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agent-memory
JKHeadley/instar 48