- Home
- /
- Categories
- /
- Processing
Processing
Data transformation and parsing
team
by Yeachan-Heo
N coordinated agents on shared task list using tmux-based orchestration
e2e-tests-studio
by mastra-ai
REQUIRED when modifying any file in packages/playground-ui or packages/playground. Triggers on: React component creation/modification/refactoring, UI changes, new playground features, bug fixes affecting studio UI. Generates Playwright E2E tests that validate PRODUCT BEHAVIOR, not just UI states.
theme-factory
by hotovo
Create new AiderDesk UI themes by defining SCSS color variables, registering theme types, and adding i18n display names. Use when adding a theme, creating a color scheme, customizing appearance, or implementing dark mode and light mode variants.
atlassian-cli
by majiayu000
Use when working with Jira or Confluence from command line, including authentication, searching issues with JQL, bulk operations, sprint reports, or creating/updating work items using acli
sglang
by davila7
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
peon-ping-use
by PeonPing
Set which voice pack (character voice) plays for the current chat session. Automatically enables agentskill rotation mode if not already set. Use when user wants a specific character voice like GLaDOS, Peon, or Kerrigan for this conversation.
omnidocbench-eval-helper
by opendatalab
Help users deploy, validate, run, and parse OmniDocBench evaluations. Use this skill whenever the user mentions OmniDocBench, document parsing/OCR benchmark scoring, MinerU or other model evaluation on OmniDocBench, CDM formula metrics, end2end/md2md configs, Docker/conda deployment, remote SSH/H-cluster execution, result JSON parsing, or troubleshooting TeX Live/ImageMagick/Ghostscript/Docker/worker/OOM issues. Prefer Docker first, generate concrete commands from the user's paths, validate inputs before running, and report final Overall/Text/Formula/Table/Reading-order scores with result file paths.
Add a new Remotion package
by remotion-dev
Packages with React components need peerDependencies for react and react-dom
FlowGram Custom Node Development
by bytedance
用于在 FlowGram demo-free-layout 中创建新的自定义节点,支持简单节点(自动表单)和复杂节点(自定义 UI)
clickhouse-migrations
by PostHog
ClickHouse migration patterns and rules. Use when creating or modifying ClickHouse migrations.
session-investigator
by evalstate
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.
axolotl
by davila7
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
flow-nexus-neural
by majiayu000
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
bio-clinical-databases-dbsnp-queries
by GPTomics
Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information.
diagram-design
by vstorm-co
Best practices for creating research diagrams with Excalidraw MCP tools
nemo-curator
by davila7
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
mounted
by bfly123
Report which CCB providers are mounted (session exists AND daemon is online). Outputs JSON.
tufte-data-viz
by caylent
Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode).
nfl-data
by machina-sports
NFL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, or NFL news. Don't use when: user asks about football/soccer (use football-data), college football (use cfb-data), or other sports.
polymarket
by machina-sports
Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, soccer, tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or "who is favored to win" questions. Don't use when: user asks about actual match results, scores, or statistics — use football-data or fastf1 instead. Don't use for historical match data. Don't use for news — use sports-news instead. Don't confuse with Kalshi — Polymarket focuses on crypto-native prediction markets with deeper sports coverage; Kalshi is a US-regulated exchange with different market structure.
agent-memory-coordinator
by ruvnet
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
datamol
by jimmc414
"Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly."
stream-chain
by ruvnet
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
drugbank-database
by K-Dense-AI
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.