Skip to content
cccskills

Results for “recognition”

263 skills · sorted by relevance

Keep research tasks moving when web search or page reading fails. The workflow identifies tool errors, shifts to existing knowledge where appropriate, and helps produce documents that clearly mark uncertainties and information needing external verification.

  • Continuing a research memo after search tools fail
  • Identifying claims that need current sources
  • Finishing documents during network outages
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Extract readable text from PDFs when normal file reading returns garbled or unusable content. The workflow switches between extraction tools, checks the results, and includes optical character recognition for scanned pages when needed.

  • Recovering readable text from garbled PDF output
  • Preparing PDF text for data processing
  • Extracting text from scanned PDFs
HKUDS/OpenSpace7.8KUpdated Aug 13, 2026

Investigate insecure deserialization, where restoring objects from stored or transmitted data can execute unwanted code. Covers multiple languages, input format recognition, vulnerable processing points, verification methods, and documentation of affected libraries and entry points.

  • Reviewing code that restores objects from external data
  • Identifying serialized data in cookies and request bodies
  • Assessing message consumers and admission webhooks
SnailSploit/Claude-Red7.6KUpdated Oct 13, 2026

sn-image-base

FreeSummary

Provide other skills with tools for generating and editing images, analyzing image content, and improving text through external APIs. This foundation passes inputs to backend services without preprocessing and returns results as text or JSON.

  • Adding image generation to another skill
  • Editing reference images with written instructions
  • Analyzing the contents of multiple images
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

ppt-analysis

FreeSummary

Extract text, tables, and chart values from PowerPoint presentations, including image-only slides through image recognition. Use the collected content to search across slides, identify dated events, or calculate ratios from table data.

  • Search for keywords across every slide
  • Extract tables and chart values
  • Read slides made entirely of images
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

markitdown

FreeSummary

Convert documents, images, audio, web pages, and structured data into Markdown for AI analysis. Preserve headings, lists, tables, and links, extract text through OCR or transcription, and process multiple files or ZIP archives together.

  • Converting PDF and Office documents to Markdown
  • Extracting text from images and audio
  • Extracting web content and YouTube transcripts
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Implement agents that use recorded task outcomes to choose future approaches. ReasoningBank supports matching past patterns, comparing strategies, retaining experience in AgentDB, and tracking how strategy success and learning change over time.

  • Choose task strategies using past outcomes
  • Compare approaches to code review or bug fixing
  • Match current situations to learned patterns
ruvnet/RuVector4.6KUpdated Oct 20, 2026

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

  • Build agent memory that reuses past experiences
  • Record and assess sequences of agent actions
  • Consolidate similar experiences into reusable patterns
ruvnet/RuVector4.6KUpdated Oct 20, 2026

pdf

FreeSummary

Process PDF documents with Python libraries and command-line tools to extract text and tables, merge or split files, fill forms, and create documents. Examples also cover scanned text recognition and exporting tables to Excel.

  • Extracting PDF tables into Excel
  • Merging documents or splitting selected pages
  • Recognizing text in scanned PDFs
foryourhealth111-pixel/Vibe-Skills3.7KUpdated Oct 20, 2026

Fine-tune Parakeet TDT v2 on clinical vocabulary using NeMo, then compare key-term error rates before and after training. The results guide whether to keep the model, expand the dataset, or prepare it for deployment.

  • Reducing transcription errors in medication names
  • Checking whether training improved clinical term recognition
  • Deciding whether to expand the training dataset
NVIDIA/skills3.7KUpdated Oct 21, 2026

Onboard a new model generation or sibling into oh-my-hermes: probe router recognition, research the official contract, write trait-to-counter calibration, place routing in both lanes, price from documented list only, gate machine config on a served route, prove with the gates, close with a benchmark pair. Use when a model family ships a new generation (for example "Fable 5.1 is out", "GLM 5.4 shipped", "onboard new model", "add model to chains").

The English summary is being prepared. Showing the original description.

rlaope/oh-my-hermes3.5KUpdated Oct 20, 2026

[omh] Onboarding a newly released model generation: when a model family ships a new generation or changes its serving contract, walk the recognition, research, calibration, routing, and measurement process that keeps model handling honest and current. Use when the user says: model-optimization, model optimization, optimize for model, onboard new model, calibrate new model, new model calibration, model calibration.

The English summary is being prepared. Showing the original description.

rlaope/oh-my-hermes3.5KUpdated Oct 20, 2026

Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.

The English summary is being prepared. Showing the original description.

microsoft/skills3.1KUpdated Oct 21, 2026

Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.

The English summary is being prepared. Showing the original description.

FreedomIntelligence/OpenClaw-Medical-Skills3.1KUpdated Jul 21, 2026

Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱

The English summary is being prepared. Showing the original description.

aaron-he-zhu/aaron-marketing-skills3KUpdated Oct 20, 2026

Evaluate and improve interface usability using heuristic analysis. Use when the user mentions "usability audit", "users are confused", "form usability", "navigation problems", "Nielsen heuristics", "cognitive walkthrough", or "is this easy to use". Also trigger when reviewing a design for usability issues, improving form-completion rates, or evaluating information architecture and navigation. Covers Krug's laws, Nielsen's 10 heuristics, severity ratings, dark-pattern recognition, and accessibility. For visual design fixes, see refactoring-ui. For conversion-focused audits, see cro-methodology.

The English summary is being prepared. Showing the original description.

wondelai/skills2.5KUpdated Sep 11, 2026

Spot patterns appearing in 3+ domains to find universal principles

The English summary is being prepared. Showing the original description.

mrgoonie/claudekit-skills2.2KUpdated Apr 3, 2026

Creative problem-solving techniques for breaking through stuck points - includes collision-zone thinking, inversion, pattern recognition, and simplification

The English summary is being prepared. Showing the original description.

mrgoonie/claudekit-skills2.2KUpdated Apr 3, 2026

Find desktop UI elements using UIAutomation (fast, accurate) or vision recognition (fallback). When you need to locate buttons/menus/icons, get element positions before clicking, or verify UI state. For browser webpage elements, use browser_* tools instead.

The English summary is being prepared. Showing the original description.

openakita/openakita2KUpdated Sep 24, 2026

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

The English summary is being prepared. Showing the original description.

openakita/openakita2KUpdated Sep 24, 2026

PaddleOCR document parsing skill based on PaddleOCR-VL-1.5. Provides SOTA-level document understanding with ultra-high precision recognition and parsing. Use when user needs to parse, extract, or understand document content.

The English summary is being prepared. Showing the original description.

openakita/openakita2KUpdated Sep 24, 2026

Analyze images using GPT-4 Vision for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content, extract text from screenshots, identify objects in photos, or ask questions about images via OpenAI GPT-4 Vision API.

The English summary is being prepared. Showing the original description.

openakita/openakita2KUpdated Sep 24, 2026

Baidu Yijian visual management skill for industrial scenarios. Provides visual recognition capabilities across 20+ industries including retail, energy, mining, ports, chemical, and steel. Use for industrial visual inspection and management.

The English summary is being prepared. Showing the original description.

openakita/openakita2KUpdated Sep 24, 2026

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.

The English summary is being prepared. Showing the original description.

timescale/pg-aiguide1.9KUpdated Oct 21, 2026