Loading...
Loading...
Found 1,248 Skills
Operate Synology DSM File Station via WebAPI for major file workflows including listing, search, folder creation, rename, copy/move, delete, upload/download, and archive extract. Use when tasks need scripted NAS file operations with service address, username, and password loaded from environment variables. Note: compress is temporarily unavailable in this skill.
Defense-in-depth verification before declaring any task complete. Run tests, check build, validate changed files, verify no regressions. Applies 4-level adversarial artifact verification (EXISTS > SUBSTANTIVE > WIRED > DATA FLOWS) with goal-backward framing. Use before saying "done", "fixed", or "complete" on any code change. Use for "verify", "make sure it works", "check before committing", or "validate changes". Do NOT use for debugging (use systematic-debugging) or code review (use systematic-code-review).
Use this skill to review implemented UI code for WCAG accessibility compliance. Triggers when reviewing components, pages, or templates for accessibility, auditing a feature after implementation, or answering questions about accessible patterns, ARIA, keyboard navigation, or screen reader support.
Plan and manage cash flow to ensure adequate liquidity while minimizing opportunity cost of excess cash. Use when the user asks about cash flow forecasting, CD or bond laddering, liquidity tiers, income smoothing for variable earners, or sweep strategies. Also trigger when users mention 'T-bill ladder', 'where to park cash', 'irregular income budgeting', 'freelancer cash management', 'lumpy expenses', 'liquidity ratio', 'how much cash to hold', or ask how to plan for large upcoming expenses.
Apply Structural Equation Modeling (SEM) to test hypothesized causal structures by combining measurement models (CFA) and structural models (path analysis). Use this skill when the user needs to validate latent constructs, test mediation or moderation paths, assess model fit with CFI/TLI/RMSEA/SRMR, or when they ask 'do these variables form a causal chain', 'how do I test my theoretical model', or 'is my measurement model valid'.
Mechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 forked subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for submission-ready or R&R-stage papers where single-pass review isn't enough.
Use when modifying service config without full redeploy. Use when updating env vars and restarting single service. Use when user says "change env var", "update config", "fix variable without redeploying", "upgrade service version", "update image tag", or "change service tag".
Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.
Generate single-file theme SCSS for wot-ui, and append `@use` to App.vue only when the user explicitly requests integration. Use this when users need to create brand themes, implement semantic variables, or integrate single-file themes.
Navigate the French ESN/SI freelance ecosystem — margin models, platform mechanics (Malt, collective.work), portage salarial, rate positioning, and payment cycle realities
Guides rollout configuration for experiments: variant splits, overall rollout percentage, and the critical disambiguation when a user mentions a specific percentage. Covers both initial setup and mid-experiment changes. TRIGGER when: user mentions a rollout percentage, asks about variant splits, wants to change distribution on a running experiment, or asks 'who sees what variant?' DO NOT TRIGGER when: user is asking about metrics, analytics, or experiment results.
Use this skill to use Liquid variables in LookML for dynamic SQL, HTML, and Links, including advanced patterns for query optimization.