alphaear-news
Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
alphaear-predictor
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
alphaear-reporter
Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
alphaear-search
Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
alphaear-signal-tracker
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
alphaear-stock
Search A-Share finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
alphafold-database
Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
alphafold
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alphavantage-earnings
Consensus estimates and earnings data from Alpha Vantage.
alphavantage-routing
Reference for all Alpha Vantage MCP tools. Use when exploring available data.
alpine-js-usage-rules
Guidelines for using Alpine.js for declarative JavaScript functionality.
alpine-js
Adds reactive and declarative behavior to HTML with minimal JavaScript using Alpine.js directives. Use when adding lightweight interactivity to server-rendered pages, building interactive components without a build step, or when user mentions Alpine.js, x-data, or Tailwind-style reactivity.
alps
Create, validate, and improve ALPS profiles. Generate from natural language descriptions, validate existing profiles, and get improvement suggestions.
alto-configure
Use when configuring ALTO settings including arbiter thresholds, permissions, or verification hooks. Applies during setup orchestrator "Configure ALTO" selection, build orchestrator checkpoints, or when user requests configuration changes.
alto-dev-guide
Use when developing ALTO itself - editing devenv.nix, hooks/*.py, agents/*.md, or checking Claude Code hook/agent syntax. Reference guide with documentation URLs and patterns.
alto-feature-setup
Use when starting a new feature - running /alto-feature-setup, updating objective.md, or running alto-new-run. Interactive workflow for feature initialization.
alto-protocol
Use when working with ALTO protocol files - runs/state.json, runs/handoffs/*.md, runs/tasks/*.md, runs/plan.md, or runs/milestones.md. Reference for file formats and state machine.
alto-self-fix
Use when ALTO needs to fix itself via GitHub issues. Procedural workflow for running /alto-self-fix or solving issues through ALTO's self-improvement process.
alto-switch
Use when switching ALTO orchestrator modes (dev/build/setup). Guides mode transitions and session management via the alto command.
always-init
Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
always-on
always on skill for handoffs
always-works-testing
Default testing standard for all implementation work - ensures code actually works through mandatory execution validation before confirming to user. Applies automatically whenever writing, modifying, debugging, or implementing any code (scripts, APIs, UI, configs, data operations, logic changes). This is the baseline expectation, not an optional extra - every implementation must be verified through actual execution, not assumed correct.
amap
使用高德地图Web服务API进行地点搜索、天气查询和路线规划。
amazon-bestseller-launch
Complete Amazon KDP bestseller launch system with proven strategies for achieving #1 bestseller status. Use when planning book launches, optimizing Amazon listings, executing pre-launch campaigns, coordinating launch day sales velocity, managing ARC reviewer campaigns, creating book marketing funnels, optimizing Amazon A+ content, or any task involving Amazon KDP publishing and book marketing strategy.
amazon-category-research
Research profitable Amazon KDP categories for book publishing. This skill should be used when planning a book launch, analyzing competition, or optimizing category selection for discoverability. Guides the 3-category decision with BSR analysis and ghost category avoidance.
amazon-order-matcher
Scrape Amazon order history and match to Monarch Money transactions for auto-categorization. Uses browser automation to extract order details, then matches by amount and date to categorize uncategorized transactions.
amazon-product-search-recommender
When the user wants to search for specific products on Amazon within budget constraints and generate structured recommendations. This skill navigates to Amazon.com, performs targeted searches using specific criteria (price range, material, color), browses search results, extracts product details (title, price, store/brand, URL), and compiles recommendations into a structured JSON format. Triggers include requests for product recommendations, shopping assistance, budget-constrained searches, or when users need to find specific items on Amazon with detailed specifications.
amazon-writing
Use when writing narrative memos, 6-pagers, 1-pagers, press releases, or PRFAQs in Amazon style. Applies Amazon's no-PowerPoint writing standards with data over adjectives, active voice, and the "so what" test.
Amazonian Plant Teachers
Navigate through plant intelligence and living forest consciousness. Deploy ONLY when nature consciousness, ecological wisdom, or plant medicine context emerges naturally. Deep respect for Indigenous knowledge holders required. NOT for recreational or appropriative use.
ambiguity-detection
Detects critical product, scope, data, risk, and success ambiguities in requirements or PRDs and expresses them as structured, decision-forcing clarification questions without proposing solutions or workflow actions.
amcs-{SKILL_NAME}-{ACTION}
{ONE_SENTENCE_PURPOSE}. Use when {TRIGGER_CONDITION}.
amcs-validator
Score composed artifacts against blueprint rubric. Evaluates hook density, singability, rhyme tightness, section completeness, and profanity compliance. Returns scores and issues list to determine if fix loop is needed. Use after COMPOSE to validate artifacts before rendering.
ameba-configuration
Use when configuring Ameba rules and settings for Crystal projects including .ameba.yml setup, rule management, severity levels, and code quality enforcement.
ameba-custom-rules
Use when creating custom Ameba rules for Crystal code analysis including rule development, AST traversal, issue reporting, and rule testing.
ameba-integration
Use when integrating Ameba into development workflows including CI/CD pipelines, pre-commit hooks, GitHub Actions, and automated code review processes.
solana
Interact with Solana blockchain - check balances, view transactions, monitor NFTs, and explore account data. Works with Phantom and Solflare addresses.
amp-api-awareness
Extract hidden Amp API patterns from local thread data via DuckDB analysis
amp-skill-creator
PRIMARY skill creator. Use this by default when creating ANY skill. If user explicitly asks for a "Claude skill", "Claude-compatible skill", or "universal skill", use agent-skill-creator instead. Handles Amp-specific features (mcp.json, OAuth, Amp frontmatter).
ampeco-public-api
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bio-microbiome-amplicon-processing
Amplicon sequence variant (ASV) inference from 16S rRNA or ITS amplicon sequencing using DADA2. Covers quality filtering, error learning, denoising, and chimera removal. Use when processing demultiplexed amplicon FASTQ files to generate an ASV table for downstream analysis.
amplifier-cli-skill
Skill for building CLI applications on the Amplifier platform. Teaches amplifier-foundation patterns as the source of truth for composable AI application development. Use when building CLI tools, understanding bundle composition, implementing sessions, or extending the Amplifier ecosystem.
amplifier-modulebuilder-skill
Build amplifier-foundation modules using "bricks and studs" architecture. Covers tool, hook, provider, context, and orchestrator modules with testing, publishing, and best practices.
amplitude-user-lookup
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amplitude
Analyze product analytics with Amplitude's digital analytics platform.
amq-cli
Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use when you need to send messages to another agent (Claude/Codex), receive messages from partner agents, set up co-op mode between Claude Code and Codex CLI, or manage agent-to-agent communication in any multi-agent workflow. Triggers include "message codex", "talk to claude", "collaborate with partner agent", "AMQ", "inter-agent messaging", or "agent coordination".
bio-metagenomics-amr-detection
Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.
bio-epidemiological-genomics-amr-surveillance
Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.
ams
ams-OSRAM MPN encoding patterns, suffix decoding, and handler guidance. Use when working with ams sensor products, optical components, or AMSHandler.
analizador-traccion
Analiza métricas post-lanzamiento para determinar si un producto tiene tracción real o si debes pivotar. Interpreta señales de usuarios, retención, engagement y monetización. Úsalo después de lanzar para tomar decisiones basadas en datos sobre continuar, pivotar o cerrar.
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