Skills that do not fit the categories above (12.8K skills)
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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We need to parse user query. They ask: "Find the structural connection between these two situations:
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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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Agent mesh: master/worker nodes, HTTP delegation, heartbeat.
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Infographics: 21 layouts x 21 styles (信息图, 可视化).
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Use for autonomous bug-hunt: scan, reproduce, fix, bounty.
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[ "Question: user [ "
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user
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1. **Deconstruct the User's Query**: * Core subject 1: Energy efficiency (in computing/AI).
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We need to answer the question: "Explain how sleep consolidation improves memory in biological and a
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Use for Self-Rewriting Core: AST analyze, patch, commit.
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RSI stable: zero proposals after full 6-file rotation
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Track Apple devices/AirTags via FindMy.app on macOS.
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Recent Updates - Devin Docs — Vor 2 Tagen · The latest Devin updates: recently released features, improvements, and bug fixes across the product, upda
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About 5-9 years in, they d notice their teams were no longer getting shit done, and then they d call me.
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Apple Reminders via remindctl: add, list, complete.
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Use when the user references past work or you suspect cross-session context exists.
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LoRA · Hugging Face — We propose Low-Rank Adaptation, or LoRA, which freezes the pre-trained model weights and injects trainable rank decomposition …;
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Use when creating or editing cron jobs - prevents timeouts, silent failures, and delivery gaps.
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Called by /plot to generate and upgrade econometric figures to top-journal standards.
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Econometrics skill for OLS regression and linear models. Activates when the user asks about: "run OLS", "linear regression", "ordinary least squares", "interpret regression results", "heteroskedasticity", "multicollinearity", "regression assumptions", "robust standard errors", "GLS", "WLS", "fit a regression model", "check regression diagnostics", "OLS假设", "最小二乘法", "线性回归", "回归系数", "残差检验", "异方差", "多重共线性", "普通最小二乘", "稳健标准误", "回归诊断"
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Called by /plot to upgrade regression and summary tables to top-journal standards.
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Run a full dev cycle on one change: clarify, plan, execute, lint, fix. Start every change here.
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