Results for “recommendations”

Validates product direction before building, runs product diagnostics, founder reviews, user journey audits, and feature prioritization, producing actionable briefs and recommendations.

Reports real-world cost savings from prompt caching and batch API on an animal recognition workload, with pricing breakdowns and recommendations.

Use when two or more agents produce conflicting outputs, recommendations, or decisions. This skill provides a structured process for resolving disagreements between agents, ensuring conflicts are resolved fairly with clear reasoning and documented decisions.

Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations. Use when the user requests churn analysis or provides relevant inputs for this workflow.

Mandatory training archive with model gating (APPROVED/REVIEW/DROP). Trigger when: (1) training run completes, (2) need to decide which models to deploy, (3) want historical training reference, (4) need checkpoint recommendations for overfitting.

Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements.

Audits a research knowledge base for stale profiles, thesis drift, and orphan pages, returning a 0-100 health score with actionable recommendations.

Integrates multi-dimensional health data to detect anomalies, predict risks (hypertension, diabetes, cardiovascular), and generate personalized recommendations and interactive HTML reports.

Query, analyze, and tune PostgreSQL databases through your AI agent with safe access controls, including index tuning recommendations, query plan analysis, health monitoring, and schema intelligence.

Analyzes a single web page for on-page SEO, content quality, technical meta tags, schema, images, and performance, providing a score card and prioritized recommendations.

Generates design systems and UI/UX recommendations for React Native projects, with domain-specific searches for styles, colors, typography, and best practices.

Analyzes a single webpage's on-page SEO, content quality, technical meta tags, schema, images, and performance, producing a scorecard and prioritized recommendations.

Analyze draft prompts to identify intent, scope, and missing context, then generate an optimized prompt with ECC component recommendations. Advisory only — never executes the task.

Review AI agent skills using a dual-axis method: deterministic code-based checks and LLM deep review, with weighted scoring and improvement recommendations.

Discovers and evaluates community skills from skills.sh and awesome-openclaw-skills when local skills don't cover a need, scoring credibility and installing top recommendations with permission.

Analyze marketing pages and provide actionable recommendations to improve conversion rates, covering value proposition, headlines, CTAs, visual hierarchy, trust signals, objection handling, and friction points.

Analyze and reorganize your X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in your real voice.

Generates a structured HTML prep file for the next working day by pulling calendar data via WorkIQ, classifying meetings, detecting conflicts, finding learning and deep-work slots, and providing productivity recommendations.

Analyze S&P 500 market breadth charts and CSV data to assess market health, identify trading signals, and generate positioning recommendations for different trader types.

Audits a project's developer experience by scoring devcontainer, git hooks, linting, build caching, environment setup, and release pipeline, then generates a DX health report with prioritized recommendations.

Analyzes a single webpage's SEO across on-page elements, content quality, technical meta tags, schema, images, and performance, producing a scored report with prioritized issues and recommendations.

Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for".

Optimizes form completion rates for lead capture, contact, demo request, application, survey, and checkout forms through structured audits and A/B test recommendations.

Given a stock ticker, cost basis, and position purpose, classifies the holding scenario and returns concrete hedge recommendations (Long Put, Collar, Tier-down) with live option strikes and premiums.

Profiles application performance across database queries, API call chains, memory usage, bundle sizes, network waterfalls, and frontend rendering, then produces ranked optimization recommendations with estimated impact.

Analyzes a single web page for on-page SEO, content quality, technical meta tags, schema, images, and performance, producing a score card and prioritized recommendations.

Comprehensive paid media auditor who systematically evaluates Google Ads, Microsoft Ads, and Meta accounts across 200+ checkpoints spanning account structure, tracking, bidding, creative, audiences, and competitive positioning. Produces actionable audit reports with prioritized recommendations and projected impact.

Evaluates Google Cloud workloads against the Performance Optimization pillar of the Well-Architected Framework, providing actionable recommendations for resource allocation, modular design, elasticity, and monitoring.

Monitors authorized threat intelligence feeds and maps adversary TTPs to MITRE ATT&CK, NIST CSF, and ISO 27001 frameworks to produce actionable intelligence reports with IOCs and defensive recommendations.

Use this skill when the user asks about cybersecurity for a trucking carrier — protecting ELD data, customer information, financial systems, EDI integrations, fleet telematics, ransomware risk, vendor / shipper data sharing, incident response, and FMCSA cyber-recommendations. Reference NIST + CISA cybersecurity frameworks.

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.

Harden container images by minimizing attack surface, removing unnecessary packages, implementing multi-stage builds, configuring non-root users, and applying CIS Docker Benchmark recommendations.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Runs comprehensive SEO audits and analysis for any website, covering technical SEO, content quality, schema markup, sitemaps, images, and GEO, with industry-specific detection and actionable recommendations.