Loading...
Loading...
Found 776 Skills
Query and summarize site activity logs for a Webflow enterprise site. Surfaces recent changes, identifies who made them, and generates human-readable activity reports. Use for site monitoring, change tracking, publish preparation, or weekly activity summaries. Enterprise plans only.
Large wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokens
Quota tracking, threshold monitoring, and graceful degradation for rate-limited API services. quota, rate limiting, usage limits, thresholds.
Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry through the sibling `cx-metrics-query` / `cx-query-logs` / `cx-query-spans` skills, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates the dashboard via `cx dashboards create`. Use whenever the user asks to create, build, generate, or deploy a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.
Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.
Sector rotation continuous monitoring via Longbridge — 6–12 month trend tracking across economic cycles (recovery / overheating / stagflation / recession), identifies leading sectors per cycle phase (recovery→consumer discretionary/financials, overheating→energy/materials, stagflation→healthcare/staples, recession→utilities/bonds), and outputs sector allocation recommendations. Differs from longbridge-sector-rotation which gives a point-in-time snapshot. Triggers: "行业监控", "板块监控", "行业跟踪", "经济周期", "顺周期", "逆周期", "行业配置", "周期行业", "防御行业", "行业仓位", "行業監控", "板塊監控", "行業追蹤", "經濟週期", "順週期", "逆週期", "行業配置", "週期行業", "防禦行業", "sector monitor", "sector tracking", "economic cycle", "defensive sector", "cyclical sector", "sector allocation", "late cycle", "early cycle", "sector positioning".
Use when the user wants Instagram research or workflow guidance for lead generation, influencer discovery, brand monitoring, competitor analysis, content analytics, trend research, or audience analysis, including profile analysis, feed collection, post or reel inspection, transcript extraction, comment analysis, reel discovery, highlight retrieval, or embed generation.
Push and publish custom AI models to Replicate, and set up CI/CD for releasing new model versions safely. Use when running cog push, deploying a model to Replicate, releasing a new version, validating a model with cog-safe-push before publishing, configuring a Replicate deployment, setting up GitHub Actions for model releases, or porting a community model to an official one. Trigger on phrases like "push a model to Replicate", "publish a model", "deploy a model", "release a new version", "cog push", "cog-safe-push", "model CI", "r8.im", or "schema compatibility", and when referencing github.com/replicate/cog-safe-push or github.com/replicate/model-ci-template. Covers cog push, the full cog-safe-push config (test cases, fuzz, deployment, official_model), GitHub Actions patterns, multi-model matrix pushes, and post-publish monitoring. Assumes you already have a working Cog project; see build-models if you need to package one first.
Use Parallel's parallel-cli to do live web search, URL extraction (clean markdown), deep research reports, bulk data enrichment (CSV/JSON), FindAll entity discovery, and web monitoring. Use when the user asks to look something up online, needs current sources/citations, provides URLs to read or summarise, requests deep/exhaustive research, wants to enrich a dataset with web-sourced fields, wants a list of entities (companies/people/places), or wants to monitor the web for changes over time.
Obtain announcement information of A-share listed companies (real data). Based on AkShare, fetch all announcements of the day from Eastmoney.com, supporting filtering by stock code and keywords. Suitable for monitoring key information for investment decisions such as major events, performance express reports, shareholder changes, restructuring announcements, etc. Data source: Eastmoney.com (stable and reliable).
Competitor Blogger Daily Monitoring + One-Click Video Script Parsing — Monitor the latest videos of competitor bloggers (Douyin/Kuaishou/WeChat Channels), AI scores the viral potential; one-click script parsing for selected viral videos (yt-dlp + faster-whisper + DOUBAO multimodal 5 dimensions: shots/lines/visuals/sound/rhythm). Trigger when users say "monitor bloggers", "check competitor bloggers", "what did peers post", "parse this video", "secondary creation script".