New and Recently Updated Skills

S

Superself

Use when a project keeps its state in Superself (a `<!-- superself:begin` block in AGENTS.md or CLAUDE.md, or `self setup` resolves the directory to a registered project): read `self context` at session start, attach work to a work unit, report with evidence, and record confirmed decisions so the next session picks up where this one left off.

T

Topic Monitor

Monitor topics of interest and proactively alert when important developments occur. Use when the user wants automated monitoring of specific subjects like product releases, news topics, technology updates, RSS/Atom feeds, or GitHub releases. Supports scheduled web search plus feed polling, boolean topic filters, AI importance scoring with sentiment tracking, smart alerts vs weekly digests, and memory-aware contextual summaries.

A

Agent Chronicle

AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution, mood analytics, weekly digests, "On This Day" resurfacing, and scheduled auto-generation. Works best with Claude models (Haiku, Sonnet, Opus).

C

Clawdbot Personas

Transform into 20 specialized AI personalities on demand. Switch mid-conversation and load only the active persona. Triggers on "persona list", "use persona", "switch to", "activate", "exit persona".

E

Elevenlabs Voices

High-quality voice synthesis with 18 personas, 32 languages, sound effects, batch processing, and voice design using ElevenLabs API.

S

Sports Ticker

Live sports alerts for Soccer, NFL, NBA, NHL, MLB, F1 and more. Real-time scoring with the free ESPN API. Track any team from any major league worldwide.

S

Smart Followups

Generate contextual follow-up suggestions after AI responses. Offers three next questions (Quick, Deep Dive, Related) when the user runs /smart-followups or asks for suggestions.

Y

Youtube Apify Transcript

Fetch YouTube transcripts via the Apify API. Works from cloud IPs (Hetzner, AWS, etc.) by bypassing YouTube's bot detection. Features local caching (free repeat requests) and batch mode. Requires APIFY_API_TOKEN and the Python requests library.

G

Growth Loops

Turn hand-made first-50 traction into self-reinforcing acquisition loops, so the next 5,000 users come from usage, not founder hours. Use when growth stalls the moment the user stops pushing, every signup traces back to a DM or one launch spike, or they're reaching for \"more channels\" when the real gap is that using the product creates no new users.

T

Todo Tracker

Persistent TODO scratch pad for tracking tasks across sessions. Use when the user asks to add, list, complete, remove, or summarize tasks in a portable workspace Markdown file. Uses stable task IDs and exact matching; heartbeat reporting is opt-in and count-only.

J

Jira

Read, search, draft, create, or update Jira work. Use only with explicit Jira or Atlassian context, a Jira URL, or a Jira-style issue key such as PROJ-123; generic mentions of an issue, ticket, sprint, or backlog are not sufficient.

G

Google Ads

Query, audit, and optimize Google Ads campaigns. Use an attached browser or the Google Ads API for campaign, keyword, budget, conversion-tracking, and wasted-spend analysis, or when the user explicitly requests a reviewed account change. Defaults to read-only reporting; account mutations require a bounded preview and action-time approval.

G

Google Search Console

Read Google Search Console properties, Search Analytics, URL Inspection, and sitemaps. Use for explicit Search Console or GSC SEO performance, indexing, and freshness analysis; not for general web search.

C

Context Recovery

Recover missing conversation context after explicit compaction or truncation, or when the user explicitly asks to recover prior work. Use for requests such as "where were we before compaction?" when the current thread is insufficient. Do not trigger on a generic "continue" when the current thread already provides an actionable next step.

G

Google Analytics 4

Read Google Analytics 4 reporting data through the GA4 Data API. Use for explicit GA4 property metadata, compatible metric/dimension reports, traffic analysis, key events, quotas, and bounded exports.

F

Find Skills

Search, discover, and install skills from the open agent skills ecosystem to extend agent capabilities for specific tasks or domains.

D

Daily News

Daily news and hot topics via the 6551 API. Supports news categories, hot news articles, and trending tweets by category.

T

Twitter To Binance Square

Auto-mirror Twitter/X content to Binance Square. Monitors specified Twitter accounts or topics, fetches new tweets, transforms content, and posts to Binance.

M

Meitu Skills

Comprehensive Meitu AI toolkit for image and video editing. Features include AI poster design, precise background cutout, virtual try-on, e-commerce product.

C

Cypress Cloud Cli

Runs the cy-cloud CLI to inspect Cypress Cloud organizations, projects, runs, specs, tests, failure screenshots, and Test Replay data. Use when the user mentions Cypress Cloud, cy-cloud, cypress-cloud-cli, a Cloud run or test URL, failing or flaky Cypress tests, Test Replay, run triage, Cloud artifacts, or asks why a recorded test failed.

C

Cypress Tap

Drives a running Cypress open-mode session through `cypress tap` to run and rerun specs, wait for fresh results, inspect reporter and command logs, and query or rewind the app under test through DOM, accessibility, styles, and snapshots. Use when authoring or debugging Cypress e2e or component specs, discovering selectors, diagnosing failures, or verifying test behavior without GUI interaction. Not for one-shot headless runs. Requires Cypress 15.21+, a Chromium-family browser, and a running `cypress open` session.

A

Adapting Formats

Resizes an existing image ad into the other shapes it has to run in — reads the ad first, then regenerates it at each ratio with the original passed in as a reference, so the product, the copy and the look carry across. Each shape is recomposed rather than cropped, with the background extended into the space the new proportions open up and the headline and call to action kept clear of the buttons and captions the platform draws over the top. Use when the user has an ad and needs it in another size, in a ratio family, or in every size a channel takes. Not for making an ad that does not exist yet — that is generating-image-ads; not for writing the words of the ad — that is writing-ad-copy.

A

Analyzing Brand

Analyzes a brand from its own website — its colours and fonts, the logo and imagery it uses, how it sounds, who it sells to, the claims it makes, and what it sells. Reads the site and its pictures with a vision model, and marks anything the site doesn't evidence as unconfirmed rather than guessing. Facts only — nothing is generated, planned or judged here. Use when a brand's guidelines, palette, typography, voice, tone or positioning need establishing, or when another skill needs the brand before it plans or generates.

A

Analyzing Own Ads

Audits the ads a company is running itself — what's live now, what it has already stopped, and which have run longest. Watches the video ads and reads the image ads with a vision model, then maps what the account already covers — the angles, hooks, formats and offers — what was dropped and how fast, and which long-runners have nothing newer beside them. Read from the public ad library, so it carries run lengths rather than spend or results. Research only — nothing is generated or changed here. Use when the user wants their own ads audited, wants to know what they are running, which of their ads is holding, what they already cover, or whether anything is going stale.

C

Cloning Video Ads

Clones an existing video ad — reads a supplied reference ad, keeps its structure, pacing, shots, camera and hook, and rebuilds it as a new video with the user's own product in place of the original's. Use when the user wants to copy, clone, recreate, or remake an ad or a competitor's video, or make an ad "like this one" with their product. Not for a product ad built from scratch with no reference video, not for a creator sharing their own take on a product and not for cloning image ads.

I

Identifying Competitors

Finds out who a brand competes with. Reads what the brand sells from its site, searches the web for the alternatives buyers compare it against, and proposes a shortlist with competitor names and websites. Use when the user asks who their competitors are, or to find or refresh their competitor list, or when another skill needs competitors named first.

O

Onboarding User

Onboards a new user — sets up their brand for the first time from their website. Analyzes the brand, finds its competitors, and saves both to the company profile that every later session reads from. Use when the user wants to onboard, get started, or set up their brand or company profile. Not for just analyzing a brand from its website — that is analyzing-brand.

P

Planning Campaigns

Decides what to make next — turns the brand, the product, your own running ads and competitor research into the concepts worth testing next. Each concept is a full description of one ad, the buyer it targets, the bet it tests and the evidence it rests on — complete enough for a producer to build from directly. Nothing is generated before the plan is approved — it asks which concepts to build, and only then hands each approved concept to the skill that builds it. Use when the user asks what to make, what to test next, what hooks or angles to try, for campaign concepts, or a creative plan — or wants the whole campaign run end to end, from research to finished ads. Not for a single ad with no plan behind it — that goes straight to the producer skill.

R

Researching Competitor Ads

Analyzes the ads competitors are running — the ones live now, the ones they have already stopped, and which have run longest. Watches the video ads and reads the image ads with a vision model, so every finding comes from the ad itself rather than its caption. Finds the patterns across the set — what is holding, what was dropped, and what nobody runs. Research only — nothing is generated or recommended here. Use when the user wants competitor ads researched, an ad teardown, a competitive or category analysis, to see what ads a named brand is running, or to find what is working and what nobody has tried yet.

S

Supercmo Setup

Diagnoses which capabilities are ready or blocked, sets up the keys, then sets up the brand from its website. Use when the user asks to "set me up," "setup," "help me get set up," "get started," "help me get started," "get me started," "what can you do," or to configure or finish setting up SuperCMO, or on a no_provider_configured error.

T

Tencent COS

腾讯云对象存储(COS)和数据万象(CI)集成技能。覆盖文件存储管理、AI处理和知识库三大核心场景。 存储场景：上传文件到云端、下载云端文件、批量管理存储桶文件、获取文件签名链接分享、查看文件元信息、查询数据万象及子服务开通状态。 图片处理场景：图片质量评估打分、AI超分辨率放大、AI智能裁剪、二维码/条形码识别、添加文字水印、获取图片EXIF信息、缩放、裁剪、旋转、格式转换。 文档处理场景：Word/Excel/PPT等办公文档转PDF、文档预览。 媒体处理场景：视频智能封面提取、视频转码、视频截帧、获取媒体信息。 内容审核场景：图片/视频/音频/文本/文档内容审核，检测违规内容。 智能语音

C

Content Claim Navigator

A calm way for artists, creators, managers/teams and labels to get guidance or better understand/organize automated content claims across YouTube, META & TikTok, so nothing important gets missed. Verified official sources, estimated deadline timelines, plain words. *Not expert legal advice - a guide

X

Xquik Mcp

Connect, verify, and troubleshoot Xquik's remote MCP server. Use when a user needs MCP setup, OAuth recovery, tool discovery, endpoint execution, or a real-client MCP check in ChatGPT, Claude, Codex, Cursor, VS Code, or another compatible client. Prefer live MCP discovery over copied endpoint details. Start with read-only inspection. Require confirmation before private, metered, persistent, or state-changing calls. Not affiliated with X Corp.

P

PinchTab

Control browsers and access sites with PinchTab

A

Add Task

creates draft task file in .specs/tasks/draft/ with original user intent

C

Create Ideas

Generate ideas in one shot using creative sampling

D

Design Testing Strategy

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

D

Do In Parallel

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

D

Do In Steps

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

F

Fix Tests

Systematically fix all failing tests after business logic changes or refactoring

I

Implement Task

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

J

Judge

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

J

Judge With Debate

Evaluate solutions through multi-round debate between independent judges until consensus

L

Launch Sub Agent

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

M

Multi Agent Patterns

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

B

Brainstorm

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

P

Plan Task

Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases

C

Client Archetypes

Use this to match your tone to the buyer type. Six types. Same deal, different music.