Results for “sca”

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, using a structured checklist and verification process.

Scans local repositories and a Supabase database to inventory all pathway, portal, and theme content, producing a categorized report organized by portal.

Scans recently changed code for tech debt: duplicated logic, dead code, magic numbers, deep nesting, and TODOs, then proposes fixes.

Coordinates a 12-phase pipeline that turns trends into scheduled, analyzed, and scaled social media content, with Paperclip issue tracking.

Extracts text from PDFs and scanned documents, choosing the cheapest method that works, from direct file reads to full OCR.

Systematically adds unit test coverage to existing source files in any project, tracking progress across sessions via scan, plan, and write modes.

Pretrains large language models at scale using PyTorch-native torchtitan with 4D parallelism, Float8, and distributed checkpointing.

Thin orchestrator — runs capture-brief, sam-scan, and competitive-snapshot in order for a new pursuit row. Use when user wants standard admin kickoff without running three buttons manually.

Scaffold a complete knowledge system. Detects platform, conducts conversation, derives configuration, generates everything. Validates against 15 kernel primitives. Triggers on "/setup", "/setup --advanced", "set up my knowledge system", "create my vault".

Análise de RNA-seq de célula única. Carregue dados .h5ad/10X, QC, normalização, PCA/UMAP/t-SNE, clustering Leiden, genes marcadores, anotação de tipo celular, trajetória, para análise de scRNA-seq.

Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.

Assess and manage Azure service quotas and limits to prevent deployment and scaling failures. Use this skill when users ask about quota errors, capacity planning, regional availability, or resource limits.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

Use when adding a new agent harness (CLI-based coding agent) adapter to adapters. Covers capability audit, adapter scaffold, session parsing, auth detection, hooks/plugins wiring, tests, and docs.

CONDOR v2.0 — Multi-Asset Thesis Picker. Evaluates BTC, ETH, SOL, HYPE simultaneously and enters the strongest thesis. Conviction-scaled margin. DSL exit managed by plugin runtime via runtime.yaml.

SENTINEL v2.0 — Quality Trader Convergence Scanner. Inverted pipeline: find ELITE/RELIABLE traders, see where they converge. When 5+ quality traders hold the same asset in the same direction, enter.

Cross-repository dependency audit. Scans package manifests for outdated packages, security advisories, version conflicts, and license issues. Produces a prioritized update plan. Supports Node.js, Python, Rust, and Go projects.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

Weekly churn risk detection across active client accounts. Scans for signals like decreased engagement, missed meetings, delayed payments, and competitor mentions. Scores risk 1-10 and outputs prioritized alert list.

Scales reinforcement learning with PufferLib — high-throughput parallel training (PuffeRL), vectorized environments, and native multi-agent systems achieving 2-10x speedups over standard implementations. Use when scaling RL to millions of steps per second, running vectorized or multi-agent setups, building custom PufferEnv tasks, or integrating game environments (Atari, Procgen, NetHack, PettingZoo). For standard single-agent algorithm implementations (PPO/SAC/DQN) or quick prototyping prefer alterlab-stable-baselines3. Part of the AlterLab Academic Skills suite.

Security audit orchestrator for agent skills — scans for prompt injection, data exfiltration, credential theft, supply chain risks, and instruction hierarchy violations before any skill is installed, created, improved, or read from a GitHub repo. Load when creating skills from external sources, when improve-skills reads from GitHub repos, when research-skill fetches community SKILL.md files, when a user installs a third-party skill, or when the user asks to audit skill security, scan for injection, check if a skill is safe, scan all skills, or run a security sweep. Orchestrates all secure-* skills in sequence. Content is SAFE only if ALL secure-* skills return SAFE. 36% of community skills contain flaws (Snyk ToxicSkills 2026). This skill is the first line of defense.

Generate, iterate, and scale ad creative for paid advertising across platforms like Google, Meta, LinkedIn, and Twitter.

Run Playwright tests at scale using Azure Playwright Workspaces with cloud-hosted browsers and integrated Azure portal reporting.

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit.

Plan, create, optimize, and scale paid ad campaigns across Google Ads, Meta, LinkedIn, Twitter, and TikTok.

Generate SEO-optimized pages at scale using templates and data to capture long-tail search traffic.

Create, optimize, and scale paid advertising campaigns across major platforms to drive efficient customer acquisition.

Build scalable Django 5.x applications with async views, DRF, Celery, and Channels, following best practices for architecture, testing, and deployment.

Automates the cycle of fixing CI failures, addressing PR review feedback, and pushing changes until all checks pass.

Provides grep scan commands for auditing React codebases before upgrading to React 18.3.1 or React 19.

Infer gene regulatory networks from gene expression data using scalable algorithms (GRNBoost2, GENIE3) with support for distributed computation.

Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.