Skills directory

Test a product concept with Amazon's Working Backwards method: write the press release for the finished product first, then answer hard customer and stakeholder questions, ending in a complete PRFAQ document. Use when the user requests to '

Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web

Design, validate, and govern a composite customer health score - product usage and engagement signals combined into one weighted, normalized, decayed, banded account score that flags both churn risk and expansion readiness, backtested again

Assemble, define, validate, and rank leading indicators of customer churn from account activity, product usage, and support data into a ranked churn signal register - each signal carrying event, threshold, window, baseline, lift over base r

Review a Lightning Web Component for **mobile offline** compatibility — the Komaci offline static analyzer that pre-primes the data graph for Salesforce Mobile App Plus and Field Service Mobile App. Produces a finding list with code-level f

Design, validate, and recalibrate a lead scoring model - fit and engagement signals, weighting, negative scoring and exclusions, decay, MQL/PQL threshold and tier setting, backtesting against closed-won/closed-lost outcomes, and governance;

Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, need

Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud. Use when designing end-to-end cloud solutions, selecti

Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video with synchronized audio, up to 1080p, 4-15s duration. Pro and Fast variants. Studio variants with priv

Golang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/

OKLCH color space for web projects. Convert hex/rgb/hsl to oklch, generate palettes, check contrast, handle gamut boundaries, and theme with Tailwind v4. Triggers on oklch, color conversion, palette generation, contrast ratio, gamut, displa

Personalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images). Use when us

Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.

Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.

Define the metric set and narrative structure for an executive or board revenue report so it tells one coherent story - a small stable metric spine, locked definitions, an answer-first narrative around plan vs actual vs forecast, presenting

Design the deal desk approval chain and exception-handling process for non-standard B2B SaaS deals - a tiered discount approval matrix and delegation of authority across five concession levers (price, payment terms, services, contract risk,

Design the assignment logic that routes inbound leads to sales reps - rule precedence and waterfall ordering, lead-to-account matching, territory assignment rules (geography, segment, industry, named accounts), round-robin variants (straigh

Interactive workflow to create Commerce B2B Stores and retrieve storefront metadata. Use when users want to: create B2B Commerce stores, build Commerce storefronts, set up B2B stores from Vibes, retrieve Commerce metadata, deploy Commerce e

Run a macro, periodic review of the full RevOps/GTM tool stack against the revenue workflows it serves and decide, tool by tool, what to keep, consolidate, replace, or cut - four-channel inventory, function-level overlap map, TIME scoring,

Turn a campaign goal and an audience insight into a structured creative brief a designer, video editor, or UGC creator can execute - messaging angle, hook directions, art direction, specs, testing intent, and the handoff and revision loop.

Verify that conversion events are correctly configured, firing once, and deduplicated before a paid campaign launches, then turn the evidence into a GO / NO-GO decision. Covers tag debugging, test conversion tracing, browser/server event de

Preview panel and iframe diagnostics: registry, ports, paths, blank screens. Use when a preview tab is broken or missing (e.g. white screen, tab disappeared, 404 on assets, preview not loading, list running services).

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading st

Facilitate a brainstorming session using diverse creative techniques. Use when the user says 'help me brainstorm' or 'help me ideate'

Diagnose the root cause of an underperforming paid ad account - why the ads stopped working, why CPA went up, why ROAS dropped - instead of defaulting to 'increase the budget'. Weighs tracking, account structure, targeting, creative, biddin

Build and maintain a competitor swipe file - competitors' currently-running ads collected into a categorised, queryable library classified by format, hook type, offer/angle, awareness stage, and funnel stage, then converted into ranked crea

把 ~/.agents/skills/ljg-* 里所有更新过的 skills 同步到 github repo (ljg-skills)，先推 master 分支（org-mode 输出风格），再切 md 分支（markdown 输出风格）做基础 markdown 化后推。Use when user says '/ljg-push', 'push skills', '推送 skills', '同步 skills', 'sync ljg', or whenever ljg-*

MANDATORY recipe for every Caffeine build that lists, reads, creates, shares, or organizes files and folders on the user's own Google Drive. The ONLY supported path is the `googledrive-client` mops package (Drive REST API v3) combined with

INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and examp

Design a pre-launch ad creative test plan - falsifiable hypothesis, isolation level, test cells with per-cell budgets, required sample, spend and duration, and kill/scale rules pre-registered before any money moves. Every cell carries an ex

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries

Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first us

Use when a user asks an Agent to optimize text, stories, or optional multimodal references for Seedance 2.5 text-to-video, multi-reference generation, keyframes, storyboards, blockouts, video editing, audio editing, or extension.

Decide when a proven paid campaign has earned a budget increase, how large each step should be, how the ramp sequences over weeks and months, and how to avoid performance collapse on the way up - including readiness gates, vertical vs horiz

Decide which paid channel families fit a business's economics, audience, funnel stage, and budget at campaign setup - paid search, paid social, short-form video, connected TV, native/discovery, retail media, programmatic display, podcast/au

Decide whether a running ad creative is genuinely wearing out, or whether a confounder - budget change, learning-phase reset, audience saturation, auction CPM inflation, seasonality, tracking breakage - explains the decline, and return a ve

Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent s

Build and maintain negative keyword lists from search term reports to cut wasted ad spend in paid search - n-gram query mining to surface irrelevant search terms, the right negative match types and exclusion levels (account, shared list, ca

Map the likely buying committee for an offer, deal size, and industry, and give each role a messaging angle plus the ad-targeting proxy - job function and seniority, account list, account-level intent - that actually reaches them, sequenced

Before starting any paid advertising work, before each recurring advertising review, and whenever routing is unclear, route the task to the right skill of the advertising-skills collection - or say plainly that none fits - and bootstrap or

Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — c

Track daily and weekly spend against a single campaign or account budget and flag under-pacing or over-pacing before it hurts results, reporting the pacing ratio, projected period spend, and the corrective daily spend behind every alert. Us

Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platf

Split a fixed total paid-media budget across campaigns, platforms, funnel stages, and audiences based on expected marginal return - the monthly or quarterly reallocation decision, for B2B and B2C. Use whenever the user asks how to split an

Set the organisation's top-level paid-media spend guardrails as written policy - maximum allowable CAC, minimum ROAS/MER floor, kill-switch thresholds, counter-metrics, who owns them and who may override them - each derived from contributio

Answers BMad questions and recommends the next skill from what is installed. Use when the user asks bmad for help, what to do next or where to start; to set up, update, repair, doctor, migrate or check the status of the installation, or add

Watch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metr

Quantify and explain the discrepancy between ad platform reporting, an analytics tool, and the source of truth (CRM or order system), classifying every unit of the gap as timing, definitional, or unexplained residual. Use whenever the user

Compute a business's CAC and ROAS family metrics from real spend and outcome data, then judge whether the spend is healthy against three references - the business's own break-even, its own trailing history, and provenance-labelled external

Select and size the seed customer list behind a lookalike, similar, or value-based audience - which customers to upload, how many, and whether the matched count (not the row count) clears the platform floor - with RFM and value-based select