Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Conduct deep codebase research and produce a written report. Use when the user says “Research ...,” “start a research for,” “deeply investigate,” or “fully understand how X works.” Do not use for quick questions or simple code lookups
Validate a Salla app on a real demo store before calling it done. Use when verifying an app end to end before publish. Install via salla_apps action=demo_stores, then verify the settings form actually SAVES, the embedded dashboard authenticates, the storefront snippet renders, and webhooks / App Functions fire from real Salla events. MCP/config success and passing endpoint tests are NOT proof the integration works — this is the live gate. Build flow → salla-app-builder; storefront UI → salla-storefront-ui; embedded UI → salla-embedded-ui.
Use when behavior must run in the shopper's browser on the Salla storefront — JS snippets injected via the salla_snippets tool, reacting to storefront e-commerce events (cart, product view, checkout, search). Rule: storefront/browser behavior → snippet (Device Mode); server-side handling of the same events → App Function (salla-app-functions, Cloud Mode). Snippets are pure-JS files served from the CDN, placed before `</body>`; covers create/update/delete, the `salla.config.get("app.*")` settings bridge, and the storefront event catalogue.
Scientific manuscript writing: IMRAD, citation styles (APA/AMA/Vancouver/IEEE), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA/ARRIVE), writing principles (clarity/conciseness/accuracy), venue-specific style. For LaTeX see companion assets.
Orchestrates AI-enhanced Scrum ceremonies and sprint coordination. Use when running sprint ceremonies, generating automated daily standups, engineering structured tickets, forecasting sprint capacity, or grooming backlogs. Use for fact-based standups, machine-readable tickets, predictive velocity, and backlog deduplication across GitHub Issues, Jira, and Linear.
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
Enforce semantic line breaks in Markdown specification prose. Use this whenever creating or editing specs, requirements, ADRs, README-style specification docs, or Markdown under specs/ or docs/, especially when paragraphs would otherwise be written as long wrapped lines. Apply it for AI-written specs and for review/cleanup of existing spec prose so future one-word edits produce small, readable diffs.
Use when the user needs ML pipelines, statistical analysis, data preprocessing, feature engineering, model selection, experiment tracking, or data visualization. Triggers: dataset exploration, model training, feature engineering, hyperparameter tuning, experiment tracking setup, statistical hypothesis testing, visualization creation.
SEO intelligence toolkit covering the full lifecycle via live web data: keyword research, rank tracking, site audits, content gap analysis, competitor keyword reverse-engineering, AI visibility across five platforms (ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO. Crawls real sites and SERPs via Nimble CLI — no fabricated metrics. Triggers: "SEO", "keywords", "rank tracker", "site audit", "content gap", "competitor keywords", "AI visibility", "GitHub SEO", "SERP analysis", "keyword research", "technical SEO", "keyword difficulty", "topic clusters", "ranking delta", "on-page SEO", "AI citation audit". Do NOT use for competitor business signals — use `competitor-intel` instead. Do NOT use for competitor messaging — use `competitor-positioning` instead. Do NOT use for general web scraping — use `nimble-web-expert` instead.
Resumable shipping lifecycle: reconciles current Git and GitHub facts from any entry point (dirty default or feature branch, local commits, published branch, open PR, existing manual or native stack, merged work), commits dirty work as lossless logical commits, publishes or reuses the PR, requires current CI and review evidence, lands it through the supported path, and cleans up only proven-stale branches and worktrees. Stops at the requested endpoint and never bumps versions, edits changelogs, tags, or publishes. Triggers: “ship it,” “ship this,” “open a PR,” “push and PR,” “land this PR,” “merge PR and clean up,” “check CI on my PR,” “resume the ship run,” “/ship-workflow.”
Removing AI flavor, reducing paper plagiarism, eliminating AI traces, optimizing similarity scores, humanizing text. Reduce similarity rate from 60% to under 30%. Versioned management of the AI-detection pattern library, syncing the latest detection algorithms every 2-3 days. Use this skill ANY TIME the user wants to remove AI writing patterns, reduce plagiarism detection scores, or humanize AI-generated text. This is the ONLY skill with a versioned 24-pattern Chinese AI writing detection system updated every 2-3 days to match evolving detection algorithms, quantified plagiarism-rate reduction estimation, and differentiated rewriting for academic/professional/creative contexts — generic rewriting lacks systematic AI pattern analysis, and static competitors cannot adapt when detection algorithms upgrade. ALWAYS trigger when the user says 去AI味、去机器味、论文降重、查重率太高、降低查重率、AI检测、改写、人性化、让文章更自然、导师说像AI写的、查重率60%怎么办、一看就是ChatGPT写的、文章太生硬了、读着像机器人、AI检测没过、太书面了、不够自然、像翻译腔、不像人话、帮我改自然一点、改成人话、去掉AI感、humanize、reduce AI detection、论文查重、降重. Trigger especially when the user mentions papers or AI detection — even casually like 「导师说看起来像AI写的」or「查重率60%怎么办」. Do NOT trigger for translation or writing original content. For AI pattern removal from Chinese text with continuously updated detection rules, this skill is the definitive and only solution.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy
Best practices for Snowpark Python (DataFrames, UDFs, UDTFs, stored procedures) and dbt with the dbt-snowflake adapter. Use when writing server-side Snowpark pipelines, registering UDFs or stored procedures, choosing dbt materializations, configuring incremental models, or setting up sources and tests for a Snowflake-backed dbt project.
Audit Solana programs (Anchor or native Rust) for security vulnerabilities. Use when reviewing smart contract security, finding exploits, analyzing attack vectors, performing security assessments, or when explicitly asked to audit, review security, check for bugs, or find vulnerabilities in Solana programs.
Facilitate a structured business discussion with the user and their materials: align on the problem and goals, record facts and assumptions, challenge existing judgments through evidence and diverse interpretations, converge continuously, and deliver a one-page summary. Use for business roadblocks, complex material discussions, deep insights, and sessions that require a shift in thinking.
Apply this opinionated workflow when reverse-engineering legacy or undocumented systems: scope, explore the code, trace data flows, document in EARS format, flag uncertainties. For code archaeology, onboarding, and requirements extraction.
Use this skill to GENERATE a new Stackbone piece from a clean idea through a guided interview: first decide what to build — a deep agent, a durable workflow, or a workflow-agent (a workflow that calls an agent) — then scaffold it with the stackbone CLI and interview the user surface by surface. For an agent you ask for its tools and its system prompt; for a workflow you ask for the input data and the output data (the inputSchema / outputSchema); then you walk the capability checklist ONE AT A TIME — do we need a database? human-in-the-loop? RAG? storage? an LLM call? a connector? prompts? config? secrets? a schedule? to call another agent? — and wire in only the surfaces the user actually needs. This skill DRIVES the interview and the scaffolding; it delegates the real code to the `stackbone` skill (SDK authoring) and the commands to the `stackbone-cli` skill. Trigger on requests like: build a new agent, scaffold a workflow, create a workflow that calls an agent, "I want to make an agent that …", "I need a pipeline that takes X and returns Y", start a new workspace piece, generate an agent with tools, kick off a new Stackbone project. For writing the SDK code itself use the `stackbone` skill; for the CLI surface use `stackbone-cli`; for triaging a failing run use `stackbone-debug`.
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener) into a unified conviction score (0-100), pattern classification, and allocation recommendation. Use when user asks about overall market conviction, portfolio positioning, asset allocation, strategy synthesis, or Druckenmiller-style analysis. Triggers on queries like "What is my conviction level?", "How should I position?", "Run the strategy synthesizer", "Druckenmiller analysis", "総合的な市場判断", "確信度スコア", "ポートフォリオ配分", "ドラッケンミラー分析".
WHAT: Transforms basic image prompts into model-optimized superprompts for AI image generation. WHEN: generating images, creating AI art, enhancing image prompts, working with Flux, Flux Kontext Max, Nano Banana, Midjourney, Ideogram, Recraft, Luma, Reve, Grok, GPT Image 1.5, or Seedream 4.5. KEYWORDS: superprompt, image prompt, generate image, AI art, enhance prompt, optimize prompt, photorealistic, portrait, product, selfie, photography, image generation.
Review a code change, diff, commit, branch, or pull request for actionable defects, regressions, security risks, compatibility breaks, and missing verification. Use when code review is the primary requested outcome. Keep the review read-only unless the user explicitly asks to implement fixes; do not use as a substitute for implementation or a specialized visual audit.
Design, implement, review, or improve operational reliability through service objectives, failure isolation, graceful degradation, recovery, observability, and incident readiness. Use when availability, resilience, dependency failure, disaster recovery, or operability is a primary concern. Do not use for ordinary error handling, a single unexplained bug, or speculative distributed-systems machinery.
Fetch upstream, merge (worktree) or rebase (tracked branch), stage all changes, enforce gitignore hygiene, run ADR compliance checking on modified artifacts, rebuild stale artifact indexes, generate a descriptive commit message from the diff, commit, and push to the current branch's upstream. Handles merge conflicts by preferring local changes for config/project files and upstream for scaffolding.
Search Experience Optimization (SXO), the bridge between SEO and UX/CRO. Audits the journey from the SERP click to the on-page goal: click-through factors (title, meta, rich results), then post-click signals that keep users and drive conversions: above-the-fold relevance and intent match, page speed / Core Web Vitals, readability, clear CTAs, mobile usability, and what causes pogo-sticking back to Google. Use when the user has decent rankings but poor CTR or poor on-page conversion, wants better dwell time / engagement, less bounce, or a page experience aligned with search intent. Trigger on: "SXO", "search experience optimization", "good rankings but low CTR", "high bounce rate from search", "pogo-sticking", "improve dwell time", "SEO and conversion", "ranking but not converting", "engagement signals", "make this page convert search traffic". For pure landing-page conversion in ads use /google-ads-landing; for content quality use /seo-page.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in JavaScript (ES6) using Syncfusion. Trigger it for requests involving the Syncfusion JavaScript (ES6) Document Editor, JavaScript (ES6)‑based editor integration, document editing and formatting, comments and track changes, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in Javascript applications.
Guide for implementing Syncfusion Windows Forms AI AssistView (SfAIAssistView) for building conversational AI interfaces in desktop applications. Use this when creating chat interfaces, AI assistants, or chatbots with Windows Forms. Supports OpenAI and Azure OpenAI integration, typing indicators, chat suggestions, message bubbles, and custom views for interactive messaging experiences.
Guide for implementing Syncfusion WinForms BannerTextProvider (watermark text provider) control. Use this when working with watermark text, placeholder text, or hint text in editor controls. Covers setup, text modes (FocusMode/EditMode), color/font customization, and supported control types in Windows Forms applications.
Guide to implement and customize the Syncfusion WinForms CheckBoxAdv control. Use this when working with advanced checkbox controls featuring three states, gradient backgrounds, custom borders, shadow text, or flexible alignment in Windows Forms applications.
Implement and customize the Syncfusion Windows Forms ColorPickerButton control for color selection. Trigger when user needs a color picker dropdown, color selection UI, color input control, or needs to let users select from color groups (standard, system, custom, user colors). Covers getting started, color selection, customization, and UI appearance properties.
Implement and customize Syncfusion Windows Forms SfComboBox control with data binding, autocomplete, multi-selection, filtering, and tokens. Use this when working with WinForms combobox, dropdown, SfComboBox, autocomplete textbox, multi-select dropdown, token input, combobox data binding, dropdown filtering, or combobox customization in Windows Forms applications.
Implement Syncfusion SfNumericTextBox for numeric input with formatting, validation, and customization in Windows Forms. Use when creating numeric input controls with currency formatting, percent values, number validation, or decimal formatting. Covers numeric formatting options, value range validation, and formatted numeric data entry with validation capabilities.
Guide for implementing Syncfusion TabControlAdv in Windows Forms applications. Use when creating tabbed interfaces, organizing content in tabs, or building professional tab navigation systems. Covers tab pages, tab styling, close buttons, drag-drop tabs, tab customization, and appearance options for TabControlAdv-based applications.
Use this skill when a user asks how to generate, integrate, or implement a Word‑like document editor in WPF using Syncfusion. Trigger it for requests involving the Syncfusion WPF Document Editor, WPF‑based editor integration, document editing and formatting, comments, working with tables and images, managing headers and footers, applying document protection, and building end‑to‑end document workflows in WPF applications.
Review Teleport access lists that are due for audit. Use when the user asks to review access lists, audit Teleport ACLs, check which access lists need attention, perform periodic access list reviews, recertify access, or manage Teleport access list compliance. Trigger on phrases like "review access lists", "which access lists need review", "audit my ACLs", "recertify access lists", or any mention of Teleport access list reviews. Also trigger when the user follows up on access list findings from a previous command.
Builds Python Tilebox workflows for Earth observation and geospatial processing, including satellite imagery queries, AOI and time-series pipelines, mosaics, spectral indices, classification, segmentation, change detection, and tiled ML or object detection. Use when implementing or modifying this processing, including when Tilebox is not named and no other execution platform is established.
About the TL;DR mod that comes with this skill: on a long reply it highlights in yellow the few paragraphs worth reading, shows the reply in one sentence as a notification, and puts a TL;DR on/off button above the prompt. Use when the user asks what the yellow highlight or the TL;DR button is, how to turn it off, why it did not show up, what it costs, or how to remove it. Triggers: "TL;DR mod", "yellow highlight", "turn off TL;DR", "why is my reply yellow", "המוד של TL;DR", "הסימון הצהוב", "לכבות את TL;DR". NOT for summarizing or shortening a text the user gives you.
AI topic generation tool. Selects the top 10 from collected trending topics and generates complete topic proposals. Triggered when the user says "generate topics," "filter trending topics," or "what's worth writing about." Output includes: event description, core angle, title, and writing approach.
Use this skill when the user needs to create or update Trae IDE rules (.trae/rules/*.md) to constrain AI behavior. Applies to: enforcing code style, naming conventions, commit message formats, or making the AI always follow a specific pattern. Not for skills (use project-skill-writer) or agents (use project-agent-writer). Trigger words: 'create rules,' 'add rule,' 'set code style,' 'enforce conventions,' 'configure AI behavior,' 'AI rules,' 'always do X', or when the user needs consistent AI behavior across sessions.
This skill should be used when the user asks to "triage security findings", "fix an Aikido finding", "review Aikido issues", "dismiss a false positive", "check SAST/IaC alerts", or needs to work with Aikido feed issues, GitHub Dependabot alerts, or GitHub secret scanning alerts.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.