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Found 846 Skills
Respond to online reviews. Use when: drafting replies for Google, Yelp, G2, or building review response templates.
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
Use this skill when reviewing or managing BitBucket pull requests: inspect PR metadata and diffs, post inline comments, reply to comments, edit or resolve comment threads, create pull requests, update PR title or description, check PR activities, summarize PR changes, or cross-reference Jira issues. Trigger phrases include: review PR, review pull request, check PR, comment on PR, post PR feedback, create a PR, create a pull request, what changed in PR, look at PR, summarize PR, PR activities.
Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication. Routes through perplexity-research for the actual web lookup, then formats results as a citation-checked brain page. Use when a book/article/conversation cites a study and you want to confirm the claim is real, replicated, and accurately characterized.
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.
Use this skill when working with Xquik's X Twitter Scraper API for tweet search, user lookup, follower extraction, media workflows, monitors, webhooks, MCP tools, SDKs, and confirmation-gated X account actions. Triggers on Twitter API alternatives, X API automation, scrape tweets, profile tweets, follower export, send tweets, post replies, DMs, and X/Twitter data pipelines.
Workload-aware architecture design for Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into Apache Doris system designs. Complements doris-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL/ELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: "design a table for...", "how should I store...", "build an architecture for...", "we have X devices sending data every Y seconds", "recommend a cluster size for...", "what data model should I use for...", "we need to ingest X GB/day", "migrate from MySQL/PostgreSQL to Apache Doris". Also use for legacy analytics/search/serving stack consolidation prompts even when Apache Doris is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch/ES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.
Use when babysitting a PR/MR until CI is green and every valid reviewer feedback is addressed — supports GitHub PR (gh) and GitLab MR (glab), triages comments into Valid / Discuss / Out-of-scope, addresses valid items with small commits and inline thread replies, escalates invisible findings (SonarQube/Snyk dashboards) and 3-round bot deadlocks, reports ready-to-merge (never auto-merges). Triggers — '監看 PR', 'babysit PR/MR', 'PR 顧到 merge', 'address review feedback', 'wait until CI green', '把 PR 顧到綠'. NOT for writing PR descriptions, NOT for diff code review (use pr-review), NOT for actually merging the PR (user does that).
Install a per-turn canary signal (e.g. starting every reply with the user's name and a turn counter) so silent context degradation becomes visible the moment it happens, and run a recovery protocol when the canary trips. Use when the user mentions a "canary", "context canary", or "canary check", asks to detect context rot / compaction / drift, says "you stopped using my name" or "did you lose context", asks "how degraded is your context", or wants an early-warning system for long agent sessions.
Your agent goes blind after send. Sync Smartlead, Instantly, HeyReach, and 5 more sequencers into one local SQLite database your agent can query directly. Every reply, click, bounce, and booking lands on your machine. No CSV exports, no merged sheets, no API round trips.
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.