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概要と使いどころ
Research and evaluate seo competitor analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for seo competitor analysis findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Discover evidence-backed customer language, pain points, objections, and buying triggers from relevant Reddit communities. Use when asked for Reddit research, voice-of-customer analysis, audience pain points, product feedback, or community-led content opportunities.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze estimated website traffic, engagement, rankings, channel mix, and geographic distribution through SandBase. Use for domain benchmarking, acquisition-channel analysis, or traffic trend research; do not present third-party estimates as first-party analytics.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate microsoft code reference with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft code reference findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate microsoft docs with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft docs findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate hacker news front page with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for hacker news front page findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate database lookup with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for database lookup findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate github gem seeker with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for github gem seeker findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Research and evaluate backlink analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for backlink analysis findings or verification.
日本語の概要は準備中です。原文の説明を表示しています。
Search real live music, theater, dance, comedy, film, art, sports, festivals, markets, food and drink, nightlife, classes, talks and lectures, books and literary events, tours, outdoors and nature programs, family and kids activities, social and dating nights, networking and business events, wellness classes, religion and spirituality services, civic meetings, charity and volunteering in New York City — with dates, times, prices, booking links and images. Use this whenever someone asks what to do, where to go, what is on, or where to take people in New York, for any date or none, even if they do not name SyncSo. Live catalogue, updated continuously.
日本語の概要は準備中です。原文の説明を表示しています。
Use trace-mcp through bb to search indexed code and recall project decisions with compact context.
日本語の概要は準備中です。原文の説明を表示しています。
Audit a website's SEO with Firecrawl. Use when the user asks for an SEO audit, metadata and heading review, sitemap/site-structure analysis, keyword opportunities, competitor SERP comparison, or prioritized search optimization recommendations.
日本語の概要は準備中です。原文の説明を表示しています。
Research products across the web with Firecrawl and produce a shopping recommendation or cart-ready summary. Use when the user wants to compare products, find the best option, evaluate reviews, respect budget/preferences, or shop with a saved browser session.
日本語の概要は準備中です。原文の説明を表示しています。
Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.
日本語の概要は準備中です。原文の説明を表示しています。
Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.
日本語の概要は準備中です。原文の説明を表示しています。
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.
日本語の概要は準備中です。原文の説明を表示しています。
Internal — for Boundless team members only. Query AWS CloudWatch logs for Boundless services (provers, slasher, distributor, order stream, order generator, indexer, signal) on prod/staging environments. Use when the user asks to look at service logs, debug service behavior from log output, search logs for a request ID, or investigate errors using CloudWatch. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
日本語の概要は準備中です。原文の説明を表示しています。
Play Pokémon games via headless emulation. Start a game server, read game state, make strategic decisions, and send actions — all from the terminal.
日本語の概要は準備中です。原文の説明を表示しています。
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
日本語の概要は準備中です。原文の説明を表示しています。
Property Screener — searches for properties matching investment criteria with pre-built screens for Cash Flow, Appreciation, BRRRR, First-Time Buyer, and Short-Term Rental strategies plus custom criteria support
日本語の概要は準備中です。原文の説明を表示しています。
Learn the target framework from enabled knowledge tools and implement a baseline GPU kernel. Use this skill to understand compute semantics, determine the target platform and framework, search reference implementations, and produce a correct V0 baseline with performance records for later profile-driven optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Run the evidence loop of one long-horizon GPU kernel optimization episode. Use this skill to reconstruct the incumbent, profile and localize a bottleneck, research progressively, plan one coherent direction, implement and repair, validate development correctness and performance, and record every decisive experiment in the episode journal.
日本語の概要は準備中です。原文の説明を表示しています。
Make technology decisions for every product capability by discovering existing assets, evaluating vendor-aligned options, and categorizing as Reuse/Extend/Build/Buy/Integrate/Research during PRD v0.5 Red Team Review. Handles both greenfield and brownfield contexts. Triggers on "tech stack", "build or buy?", "what technologies?", "technical decisions", "what do we reuse?", "existing stack", "vendor constraint", "IBM-first", "what tools do we need?", "evaluate solutions", "select tech stack". Consumes FEA- (features), SCR- (screens), RISK- (constraints). Outputs TECH- entries with decisions, rationale, and cross-references. Feeds v0.6 Architecture Design.
日本語の概要は準備中です。原文の説明を表示しています。
Apply Rob Fitzpatrick's Mom Test discipline to customer interviews during PRD v1.0 Market Adoption. Triggers on requests to interview customers, run discovery calls, validate ideas with users, or when user asks "how do I interview customers?", "Mom Test", "Rob Fitzpatrick", "customer interview", "user research without lies", "talking to humans", "discovery conversation". Outputs CFD-* discovery entries with Mom Test-calibrated confidence.
日本語の概要は準備中です。原文の説明を表示しています。