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General-Purpose Claude Skills (Page 1539 of 2044)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

122,591 skills · updated 2026-10-11 · showing 92281–92340 of 122,591 by quality score

Sub-topics:Ai Tooling (5,524)Automation (5,432)Integrations (4,803)Business Ops (2,902)Design Creative (2,270)Orchestration Frameworks (2,114)Agents Skills Meta (2,069)Legal Compliance (1,784)

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人教版高中英语同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_english_rj_textbook_sync.run.
高中英语词汇每日练 Skill是面向每日打卡、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_english_vocabulary_daily.run.
外研版高中英语同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_english_wy_textbook_sync.run.
高中地理考试复习 Skill是面向高考复习、考前冲刺的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_geography_exam_review.run.
高中地理快速巩固 Skill是面向每日打卡、同步巩固的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_geography_quick_practice.run.
人教版高中地理同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_geography_rj_textbook_sync.run.
湘教版高中地理同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_geography_xj_textbook_sync.run.
高中政治考试复习 Skill是面向高考复习、考前冲刺的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_politics_exam_review.run.
高中政治快速巩固 Skill是面向每日打卡、同步巩固的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_politics_quick_practice.run.
统编版高中政治同步 Skill是面向课前预习、课后作业、同步巩固、单元复习、错题巩固、期中期末复习、高考复习的产品级 Hermes Skill,年级、册别、单元、知识点和难度通过参数传入。 Workflow: senior_politics_tongbian_textbook_sync.run.
Scan the org's communication surfaces (chat like Slack or Teams, open PRs, RFC docs and design docs, ticket threads, whichever MCPs are connected) for high-leverage discussions…
Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility — from…
Produce evidence-graded verdicts for POCs, frozen-target audits, technical-debt baselines, and disputed causal claims.
Capture feedback candidates, review them in batches, and promote only verified reusable learning. Use for the BuildOS feedback inbox, retrospectives, Lessons Learned maintenance,…
Recommend, plan, create, assess, or evolve project governance when the result is document or directory placement, canonical authority, owner mapping, a project map, governance…
Design or repair executable workflows, Harnesses, project Agents, material flows, receipts, and recoverable run state.
QA the omo Senpi adapter (packages/omo-senpi, packages/senpi-task) against the REAL senpi binary in strict isolation, and write every artifact to the one canonical evidence path…
Route product sensing work — reading frontier signals through a product lens, detecting emergent capability combinations, interpreting external market and technology signals, and…
**WORKFLOW SKILL** — Iteratively improve skill frontmatter compliance using the Ralph loop pattern. WHEN: \"run sensei\", \"sensei help\", \"improve skill\", \"fix frontmatter\",…
Automate Sensibo tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
React to passive sensing events from the device — presence, sound, light, fire hazard. Events arrive as [sensing:] messages and each gets an emotion marker + optional short…
Query flow event logs to answer questions about past sensing events — "Have you seen anybody between 10pm and 12pm?", "Is there any motion in the last hour?", "What happened while…
AI-assisted sensitivity review for representation, cultural accuracy, and potential reader concerns
Use when you have a trained neural network model and a labelled validation dataset (with high-quality and low-quality peak annotations), and you need to determine the optimal…
Use when you have labeled MS/MS spectra from replicate measurements and need to determine a frequency threshold for denoising that balances competing objectives: retaining true…
Guidance for embedded sensor drivers used in the payload. Use when working with BMP390, ENS160, LSM6DSOX, LIS3MDL, GPS, IMU, barometer, or any sensor integration.
Expert skill for multi-sensor fusion and state estimation using Kalman filtering. Implement EKF/UKF, configure robot_localization, fuse IMU, GPS, odometry, and visual sensors for…
Combining IoT sensor data using algorithms like Kalman filters for improved accuracy and reliability
Use when the user asks about Density sensor health, stale or missing live signals, offline spaces, data coverage, uptime, or why availability/utilization data may be unreliable.
Build sensor data pipelines with I2C, SPI, UART, and GPIO protocols. Use when integrating sensors with Raspberry Pi, Jetson, or other SBCs for data collection, calibration, and…
Walk a space — home, office, commute, classroom — and find the sensory landmines quietly draining or overloading you, with fixes ranked by cost and impact.
Design what a world feels like to inhabit — soundscapes, smells, textures, temperatures, and embodied experience of place.
Use when packaging a SenSys artifact for the Artifact Evaluation Committee — choosing which of the three ACM badges (Available, Functional, Reproduced) to pursue, building a…
Use when preparing an accepted SenSys camera-ready — de-anonymizing the double-column ACM final, completing ACM rights and metadata, restoring acknowledgments, landing the awarded…
Use when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument,…
Use when drafting or revising a SenSys paper's abstract, introduction, and system sections — building the sensing-pain to mechanism to measured-behavior arc inside the…
Routes broad or ambiguous Sent requests to the correct MCP-backed operation or specialist skill. Use when the user asks what Sent can do, says "help me with Sent" or "set up…
Senta integration. Manage Organizations, Activities, Notes, Files, Pipelines, Users and more. Use when the user wants to interact with Senta data.
Usar quando o usuario pedir para redigir, revisar ou estruturar decisoes judiciais brasileiras — sentencas, decisoes interlocutorias, tutelas, liminares ou qualquer provimento…
Produce reviewable score/reasons with validation, safety checks, and structured output. Use when a teacher, tutor, or language learner needs this bounded workflow and will review…
Direct the sentence-craft subdomain — route line-level prose questions to the right specialist skill, define the learning curriculum, and resolve conflicts between rhythm,…
Produce reviewable flags/corrections with validation, safety checks, and structured output. Use when a teacher, tutor, or language learner needs this bounded workflow and will…
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval.
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval.
Produce reviewable scrambled prompt/answer with validation, safety checks, and structured output. Use when a teacher or resource author needs this bounded workflow and will review…
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabu — from…
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabu — from…
Analyses lawful sentencing ranges, aggravating and mitigating factors, evidence and realistic scenarios.
Calculates federal and state sentencing guideline ranges with precise USSG citations, including base offense levels, specific offense characteristics, Chapter 3 adjustments,…
Drafts defense sentencing memoranda for federal and state criminal proceedings. Covers USSG guidelines analysis, § 3553(a) factors, mitigating evidence, alternative sentencing…
Sentiance integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sentiance data.
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights.
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.
Analyze customer message text for sentiment, urgency, and emotional tone.
When the user wants to monitor reviews, mentions, and community sentiment about their own product. Also use when the user mentions "track our reviews", "what are people s — from…
Analyzes the sentiment of up to 50 texts in a single request. Results are returned in the same order as the input. Each text counts as one unit of usage.
Analyzes the sentiment of the provided text and returns a classification, confidence score, and a full breakdown across all three sentiment classes.
Multi-platform sentiment monitoring and analysis for products/brands/topics. Collect public opinions from Chinese platforms (小红书/XHS via MediaCrawler) and English platforms…
Content sentiment and emotional tone analysis — quantify the emotional profile of your content (positive/negative/neutral, excitement/calm, confidence/uncertainty).
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