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Found 1,481 Skills
An Instagram API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no login and no session cookies. Use when the user wants to resolve an Instagram profile by @handle, search users by keyword, pull a profile's posts, reels, stories, tagged posts, followers, or followings, look up a single post by its shortcode, read a post's comments, fetch posts under a hashtag or reel-only hashtag feed, pull posts from a location, or pull posts using a specific audio/music track. Also covers Instagram follower export, hashtag and location monitoring, influencer discovery, competitor content tracking, and Instagram data pipelines without an official Graph API business verification or a headless browser.
Build MCP (Model Context Protocol) servers including tool definition, schema design, authentication, error handling, and Claude Code integration. Use this skill when the user needs to create an MCP server, expose APIs or databases to AI agents, design tool schemas, or integrate with Claude Code — even if they say 'build an MCP server', 'connect Claude to our database', 'expose our API to AI', or 'create a tool for Claude Code'.
Search, filter, and format entries from BibTeX or BibLaTeX .bib files for research workflows. Use when a user wants to find papers, search a bibliography, filter a library, or look up references by topic, author, year, venue, DOI, arXiv ID, keywords, annotation, abstract, or entry type. Handles Zotero-exported libraries. Supports compact search expressions such as author:, year-gte, type:, and has:, combined filters, research-oriented output fields, raw BibTeX export, and LaTeX/Typst citation snippet generation.
YC-style office hours partner. Two modes — Startup mode runs six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit; Builder mode is an enthusiastic design partner for hackathons, learning, and side projects. Produces a design doc, never code. Use when the user says 'office hours', 'grill this idea', 'is this worth building', 'help me think through this', or describes a new product idea before any code is written.
Operate Teable bases — tables, fields, views, records, SQL queries, automations, apps, and web scraping. Trigger when user mentions Cuppy, Teable, teable CLI, or Teable-style IDs (bseXXX, tblXXX, fldXXX, recXXX, viwXXX), or wants to manage tables/fields/records, build dashboards/apps, generate charts, create automations, import/export data, trigger AI fill, or scrape websites (LinkedIn, Amazon, YouTube, etc.) — even if they don't explicitly say "Teable" but are clearly working with a Teable base.
Implement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when adding an ephemeral resource, exposing secrets/tokens/certificates that must never persist in state or plan, deciding between an ephemeral resource and a data source, or wiring short-lived credentials from one provider into another.
Design or audit evidence-led short-form Authority Ads that use a credible operator, expert, insider, skeptical dialogue, case narrator, or demonstrator to expose a hidden problem mechanism and connect it to approved proof and a product solution. Use for educational ads, expert ads, authority ads, doctor-style or specialist-style ads, podcast ads, interview ads, insider reveals, case-story explainers, problem-mechanism ads, evidence-led VSLs, 专家广告, 权威广告, 科普广告, 采访广告, reviewing an existing authority-led ad, and approved scripts that should proceed to image-batch-runner or video-batch-runner.
Design and audit visual-argument-led animated ads that turn user pressure, offer interaction, mechanism, and proof into readable characters, props, actions, visual systems, and state changes. Use for Cartoon Ads, animated direct-response ads, stylized 3D or tactile ads, personified problems, category exposes, founder stories, B2B case-character ads, animated software or service ads, product-mechanism visualization, 卡通广告, 动画广告, 3D动画广告, 拟人化广告, B2B动画广告, 把痛点动画化, reviewing an existing animated ad against this grammar, and approved scripts that should proceed into image or video production.
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-learning recognition model. Trigger phrases include "train metric learning", "ml-recog", "retrieval embeddings", "triplet loss recognition", "fine-grained matching".
Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (`bq`), checking cluster cost budgets (`gcloud billing`), or diagnosing cost drivers like pod requests vs. actual utilization (`kubectl top`). Don't use for applying cost optimization changes, creating rightsizing manifests (VPA/MPA), or selecting ComputeClasses (use gke-cost-optimization instead).
Verify and debug native, React Native, Expo, or Flutter apps on an Android Emulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an Android virtual device.
Define and use segments — named, saved filters over a Cargo model that become the audience for a batch run, a play trigger, or an export. Triggers: "build a segment of", "filter my contacts where", "who matches this criteria", "save this as a list", "how many companies match", "the Closed-Won segment", "everyone who has not been emailed", "target only accounts that", "what is in this segment", "narrow this down to". Filter JSON uses `conjonction` (not `conjunction`) — misspelling it fails silently. Skip when: running something over the segment — use cargo-orchestration; exporting its rows — use cargo-analytics; ad-hoc SQL over the model — use cargo-storage.