Results for “act”

Extract paginated video lists for a TikTok hashtag, including author profiles, engagement stats, music, and video metadata.

Extracts YouTube video transcripts and metadata (title, publisher, likes) via the BrowserAct API without CAPTCHA or IP restrictions.

Extracts YouTube video transcripts and metadata in batch via the BrowserAct API, using search keywords and date filters.

Integrate gitleaks and trufflehog into CI/CD pipelines to detect leaked secrets before deployment.

Plans and facilitates tabletop exercises simulating ransomware incidents to test organizational readiness, decision-making, and communication procedures.

Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.

Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage.

Craft messages that are understood, remembered, and drive action using the SUCCESs framework (Simple, Unexpected, Concrete, Credible, Emotional, Stories).

Diagnose and fix retention problems using the Fogg Behavior Model (B=MAP), covering motivation, ability, prompts, and tiny habits.

Analyzes code diffs and files to identify bugs, security vulnerabilities, code smells, and architectural concerns, producing a structured review report with prioritized, actionable feedback.

Identifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance for code, infrastructure, and cloud environments.

Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.

Synthesize market breadth, regime, and flow signals into a unified capital commitment recommendation with exposure ceiling, bias, and action guidance.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Quantize large language models to 4-bit precision using activation-aware weight quantization, reducing memory footprint and speeding up inference with minimal accuracy loss.

Creates professional GitHub issues—bug reports, feature requests, and technical tasks—with clear context, acceptance criteria, and labels for immediate action.

Design schemas, write TypeScript queries/mutations/actions, and set up real-time subscriptions, auth, file storage, scheduling, and deployment for Convex backends.

Generates a personalised nutrition report from consumer genetic data (23andMe, AncestryDNA, VCF) by interrogating nutritionally-relevant SNPs and producing actionable dietary guidance, all computed locally.

Produces clear, credible, and action-oriented marketing copy for landing pages and emails, enforcing brief confirmation and strict no-fabrication rules.

Structured framework for reviewing UI designs, evaluating visual hierarchy, consistency, accessibility, spacing, typography, and color usage, and providing actionable improvement recommendations.

Manages Drone CI pipelines, builds, and secrets via the Drone API, including status checks, log analysis, repository activation, and cron scheduling.

Elite admin and internal-tool UX for Nick's apps. Use when designing dashboards, operator workflows, tables, filters, bulk actions, and information-dense interfaces that still feel fast, clear, and trustworthy.

Next.js App Router expert guidance. Use when building, debugging, or architecting Next.js applications — routing, Server Components, Server Actions, Cache Components, layouts, middleware/proxy, data fetching, rendering strategies, and deployment on Vercel.

Optimizes conversion across landing pages, signup flows, and onboarding. Use when the user requests 'CRO', 'conversion rate', 'landing page', 'signup flow', 'A/B test', 'form optimization', 'exit popup', or 'user activation'.

Kentucky Consumer Privacy Protection Act (KPPA) compliance. Effective January 1, 2026. Covers consumer rights, controller thresholds at 100,000 consumers, sensitive data processing consent, cure period provisions, and AG enforcement framework.

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines

Use when the team needs API routes, action contracts, request and response shapes, error handling, pagination, or webhook patterns for a backend or BFF. Trigger on requests to design APIs before implementation.

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

Orchestrates the full multi-channel outreach cadence for all active leads. Tracks where each lead is, generates appropriate content, manages daily caps, handles weekends, and coordinates across email, LinkedIn, Instagram, and phone.

Validates agent outputs against schemas and quality criteria, scores confidence, detects hallucinations, monitors convergence, decides when to iterate, and synthesizes actionable feedback. Use when checking if a node's output is acceptable, scoring confidence, detecting fabricated content, deciding whether to re-execute, or generating improvement feedback. Activate on "validate output", "check quality", "confidence score", "hallucination check", "should we iterate", "improvement feedback". NOT for executing DAGs (use dag-runtime), planning DAGs (use dag-planner), or matching skills (use dag-skills-matcher).

Expert knowledge for Azure Role-based access control development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when designing Azure RBAC/ABAC scopes, custom roles, PIM, CLI/PowerShell/REST role ops, or ARM/Bicep templates, and other Azure Role-based access control related development tasks. Not for Azure Active Directory B2C (use azure-active-directory-b2c), Azure Information Protection (use azure-information-protection), Azure Policy (use azure-policy), Azure Security (use azure-security).

Conducts multi-turn iterative deep research on specific topics within a codebase, tracing actual code paths and grounding every claim in evidence.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.