Results for “detection”

Use AI detection to smart-crop individual portraits from a group photo.

Assesses image quality with blur detection, noise estimation, and aesthetic scoring

Use when tuning predator-prey dynamics, regime detection coefficients, or cooldown mechanisms

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Use when comparing protein sequences against protein databases for similarity searches, homology detection, or functional annotation.

Detect processed data produced with old/buggy KINTSUGI code via timestamp forensics

"Anomaly" covers three distinct problems, and a detector built for one is close to

Automates podcast video editing with speaker detection, highlight clips, and social media cuts

Detect Cobalt Strike beacon network activity using TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Augment the standard exec lifecycle with monorepo detection, lane-spec generation, guard validation, and package-scoped dispatch

Use when aligning RNA-seq reads to a reference genome with junction detection, including exon-exon junctions and gene fusions.

Build an append-only log integrity chain using SHA-256 hash chaining for tamper detection. Each log entry is hashed with the previous entry's hash to create a blockchain-like structure where modifying any entry invalidates all subsequent hashes.

Build modern Angular applications using Signals, Standalone Components, Zoneless change detection, and SSR with hydration.

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

Execution discipline with agency, instinct detection, critical safety rules, trust layer, and error resilience. v2.7 adds timeout handling, checkpointing, and decision logging.

Engineering privacy and data governance: PII detection, data flow mapping, consent patterns, GDPR/CCPA-compliant implementation, DPIA. Use when privacy-by-design is needed.

Design error prevention, detection, and recovery experiences that minimize user frustration.

Build modern Angular v20+ apps using Signals, Standalone Components, Zoneless change detection, SSR/Hydration, and reactive patterns.

Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.

Ports existing Semgrep rules to new target languages with applicability analysis and test-driven validation.

Develops modern Angular (v20+) applications using Signals, Standalone Components, Zoneless change detection, and SSR/Hydration with best practices.

Implements offline-first architecture in Flutter apps with local caching, bidirectional sync, connectivity detection, and conflict resolution.

Three.js interaction - raycasting, controls, mouse/touch input, object selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.

Inicializa el ciclo SDD en un proyecto: detecta stack, testing y convenciones, y configura el backend de persistencia.

Analyzes codebase structure and generates token-lean architecture documentation in codemap files, with diff detection and metadata tracking.

Extracts selected metadata from a DICOM file and flags standard-tag PHI presence. Not for anonymization or clinical use.

Detects the test platform (VSTest vs Microsoft.Testing.Platform) and test framework (MSTest, xUnit, NUnit, TUnit) from .NET project files.

Runs a Trailmark summary analysis on a codebase to auto-detect languages, count entry points, and list dependencies.

Deploy honeytokens and canarytokens as decoy artifacts to detect intrusions with near-zero false positives.

Review local branch changes for bugs, security vulnerabilities, and code quality issues using a structured checklist-driven process.

Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it.

Validate skill outputs against assertion manifests to detect regressions, enforce quality gates, and bootstrap starter manifests from historical runs.

Detect when backtest iteration has stalled and generate structurally different strategy pivot proposals to break out of local optima.

Performance baseline measurement and regression detection. Use when measuring perf before/after a PR, setting up baselines, investigating "feels slow" reports, validating launch performance targets, or comparing your stack against alternatives.