llama-cpp
Freellama.cpp local GGUF inference + HF Hub model discovery.
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Skills that do not fit the categories above (12.8K skills)
llama.cpp local GGUF inference + HF Hub model discovery.
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Configure and troubleshoot Honcho memory for OpenAmer.
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Use for session compression and full-text search.
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Use when driving two monitors on Windows with cua-driver.
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Humanize text: strip AI-isms and add real voice.
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Read, search, create, and edit notes in the Obsidian vault.
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Prove what a desktop action did — pixel-proof ledger.
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Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).
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Search/download GIFs from Tenor via curl + jq.
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Use when setting up OpenAmer auto-backup.
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Selbst-Auskunft mit ECHTEN Zahlen: zaehle die tatsaechlichen SKILL.md- und Tool-Definitionen, statt pauschale Werte (281/99) zu behaupten.
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Build creative browser demos with DOM-free text layout.
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p5.js sketches: gen art, shaders, interactive, 3D.
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[ "Question: user [ "
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Drive the user's desktop in the background — clicking, typing, scrolling, dragging — without stealing the cursor, keyboard focus, or switching virtual desktops / Spaces. Cross-platform: macOS, Windows, Linux. Works with any tool-capable model. Load this skill whenever the `computer_use` tool is available.
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Use for autonomous bug-hunt: scan, reproduce, fix, bounty.
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Agent mesh: master/worker nodes, HTTP delegation, heartbeat.
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user
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Both user [{"tool": "web_search", "params": {"query": "
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Infographics: 21 layouts x 21 styles (信息图, 可视化).
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We need to parse user query. They ask: "Find the structural connection between these two situations:
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Use, configure, theme, extend, and orchestrate OpenAmer Agent.
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Fertig, Damir! ✅ Das 3-Tier-Routing ist eingerichtet und **live verifiziert**.
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Use for mission: define, prioritize, --tick, progress, scan.
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