Results for “act”

Model-trader version compatibility protocol: Embed version metadata in checkpoints, validate at load time. Trigger when: (1) training and live trading versions diverge, (2) models fail to load, (3) action interpretation issues.

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

**MANDATORY prerequisite** — you MUST invoke this skill BEFORE every `use_figma` tool call. NEVER call `use_figma` directly without loading this skill first. Skipping it causes common, hard-to-debug failures. Trigger whenever the user wants to perform a write action or a unique read action that requires JavaScript execution in the Figma file context — e.g. create/edit/delete nodes, set up variables or tokens, build components and variants, modify auto-layout or fills, bind variables to properties, or inspect file structure programmatically.

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

Test local web applications by writing native Python Playwright scripts, with helpers for server lifecycle management and a reconnaissance-then-action pattern for dynamic UIs.

Create sales collateral that reps actually use — decks, one-pagers, objection docs, demo scripts, and playbooks to help close deals.

Research any topic across Reddit, X, and the web from the last 30 days, then synthesize findings into actionable insights and copy-paste-ready prompts.

Build, test, lint, version, and publish production-grade Python libraries to PyPI with support for multiple build backends, versioning strategies, and CI/CD.

Assesses codebase maturity using Trail of Bits' 9-category framework, producing a professional scorecard with evidence-based ratings and actionable recommendations.

Extract full product details from Taobao or Tmall product pages by item ID, including title, price, shop info, images, SKU variants, and attributes.

Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs.

Extracts structured data from Google Search results pages, including organic listings, paid ads, related searches, People Also Ask, and AI Overview.

Search X (Twitter) by keyword, read tweet content, generate contextual replies from a configured brand persona, and post them using browser automation.

Extract paginated TikTok video search results for a given keyword, including author details, engagement stats, music info, and video metadata.

Extracts structured image metadata from Google Images via the BrowserAct API, including thumbnails, titles, source logos, and click-through URLs.

Scrapes Instagram posts by hashtag, returning media items with captions, like/comment counts, media URLs and user info from the hashtag explore feed.

Extracts structured product data from Amazon search results, including prices, ratings, sales estimates, and shipping info, using the BrowserAct API.

Extracts structured channel data from YouTube search results via the BrowserAct API, including subscriber counts, verification status, and channel descriptions.

Hunt for Volume Shadow Copy deletion activity that indicates ransomware preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell shadow copy commands.

Scan Docker images for vulnerabilities, misconfigurations, secrets, and license violations using Trivy, with CI/CD integration and policy enforcement.

Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.

Replace heavy UX deliverables with hypothesis-driven design, collaborative sketching, and rapid experiments to learn what users actually need.

Run a customer journey mapping workshop with adaptive questions to map stages, actions, emotions, pain points, and opportunities for a persona and scenario.

Quantize large language models to 4-bit using activation-aware weight quantization, achieving ~3x speedup with minimal accuracy loss for deployment on limited GPU memory.

Imports a design system into the active project, validates UI components against design tokens, fixes token drift, and round-trips edits back to Claude Design.

Displays HTML content on connected Otto nodes (Mac, iOS, Android) via a canvas host server and node bridge, with actions to present, navigate, snapshot, and hide content.

Compresses responses by removing filler words and hedging while preserving code, errors, and technical details. Activates on explicit user request or a trigger token, and persists until released.

Coordinates GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear tracks internal execution.

Plans a comprehensive app launch strategy, covering pre-launch ASO, press outreach, beta testing, launch-day activities, and post-launch optimization.

Blocks Edit/Write/Bash actions until the agent presents concrete facts about imports, data schemas, and the user's instruction, improving output quality.

Conversion-focused product copy for Nick's apps. Use when writing landing page copy, CTA text, onboarding copy, trust-building messaging, feature explanations, pricing language, or microcopy that needs to drive clarity and action.

Connecticut Data Privacy Act (CTDPA) compliance. Covers consumer rights, controller obligations, dark pattern prohibition, loyalty program exemption, universal opt-out requirement effective January 2025, sensitive data consent, and AG enforcement. Effective July 1, 2023.

Structure a decision or design challenge through multiple perspectives before committing to action. Use as a synthesis step after scoping, mapping, and dilemma navigation when a group needs a wiser next step.

Manage feature manifests for code traceability. Use when creating new features, updating existing features, checking feature health, or exploring the feature-to-code relationship. Activates for manifest validation, feature creation, changelog updates, and traceability queries.

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

Use this skill to explain to customers/sales prospects why FMCSA CSA scores are not available in real-time. Covers the SAFER refresh cycle and what 'real-time' actually means for CSA data.