Results for “analysis”

Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes in API designs, configuration schemas, and cryptographic library ergonomics.

Automate SEO research with Ahrefs — analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.

Investigates bugs, regressions, and crashes by dispatching four parallel read-only sub-agents, then ranks hypotheses and recommends the fastest proof or fix path.

Responds to phishing incidents by analyzing reported emails, extracting indicators, assessing credential compromise, quarantining malicious messages, and remediating affected accounts.

Extract, parse, and analyze Windows Event Logs (EVTX) using Chainsaw, Hayabusa, and EvtxECmd to detect lateral movement, persistence, and privilege escalation.

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling.

Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity.

Build comprehensive forensic super-timelines using Plaso (log2timeline) to correlate events across file systems, logs, and artifacts into a unified chronological view.

Map adversary TTPs against organizational assets using the MITRE ATT&CK framework, assess detection coverage gaps, and prioritize defensive investments.

Perform static audit and dynamic conformance scanning of OpenAPI specifications using the 42Crunch platform to identify OWASP API Security Top 10 vulnerabilities.

Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.

Audit websites and landing pages for conversion issues and design evidence-based A/B tests using a scientific, customer-centric methodology.

Query and filter Datadog logs from the shell using the Composio CLI, enabling scoped log searches, pivoting across services and environments, and exporting structured JSON for downstream analysis.

Plan customer discovery interviews with the right goal, segment, constraints, and method for problem validation, churn research, or new product ideas.

Creates a comprehensive end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas for product design and UX analysis.

Analyze the spatial and structural qualities of a screen design, evaluating balance, whitespace, rhythm, and gestalt principles to identify compositional weaknesses and propose specific fixes.

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure covering screening, deep dive, entry planning, and post-purchase monitoring.

Synthesizes outputs from 8 upstream market analysis skills into a unified conviction score (0-100), pattern classification, and allocation recommendation for Druckenmiller-style portfolio positioning.

Transforms fuzzy problems into structured briefs that AI agents can reason about, critique, and act upon, while evaluating how much of the problem can be automated.

Documents the visual design system of Expo's marketing site, including color palette, typography, layout, and component styles for consistent brand implementation.

Provides a design system specification for NVIDIA's marketing pages, including color tokens, typography hierarchy, and component patterns for building engineering-style landing pages.

Documents the design system behind Ollama's marketing site, including color tokens, typography hierarchy, spacing, and component patterns for a minimal, documentation-first aesthetic.

Documents the Bugatti brand design system: a black-and-white interface with custom typefaces, no accent color, and full-bleed photography as the only visual element.

Documents HashiCorp's marketing design system: near-black canvas, per-product accent colors, hashicorpSans typography, and charcoal card surfaces for multi-product brand identity.

Scans a project for stack signals and pain points, searches the skills-hub registry and local skills, scores candidates, and presents a ranked shortlist with install commands.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Manages the full blog lifecycle: strategy, briefs, outlines, writing, analysis, optimization, schema generation, repurposing, and editorial planning, with dual optimization for Google rankings and AI citation platforms.

Builds an evidence-backed ECC install plan for a repository by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes.

Analyzes AWS ECS clusters, services, and tasks, including health, deployment status, task failures, capacity providers, and resource utilization, with parallel execution and anti-hallucination guardrails.

Structures a Request for Comments (RFC) document for proposing significant technical changes that require cross-team input and approval, guiding authors through problem definition, proposed solution, alternatives analysis, and rollout planning.

Deep-dive analysis of AWS RDS instances using Performance Insights, event subscriptions, proxy health, and global database status, with parallel execution and anti-hallucination guardrails.

Manages and analyzes incidents, post-incident reviews, and collaboration workflows in Allma via its REST API, covering incident discovery, timeline tracking, stakeholder communication, and retrospective analysis.

Connect to the MAXIA AI-to-AI marketplace on Solana to discover, buy, and sell AI services, earn USDC, and access crypto intelligence, DeFi yields, and token risk analysis.

Implements comprehensive backtesting capabilities for Pine Script indicators and strategies. Use when adding performance metrics, trade analysis, equity curves, win rates, drawdown tracking, or statistical validation. Triggers on "backtest", "performance", "metrics", "win rate", "drawdown", or testing requests.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.