Monitor blockchain mempools for pending transactions, gas analysis, and MEV opportunities. Use when analyzing pending transactions, optimizing gas prices, or researching MEV. Trigger with phrases like "check mempool", "scan pending txs", "find MEV", "gas price analysis", or "pending swaps".

Route trades across multiple DEXs to find optimal prices with minimal slippage and gas costs. Use when comparing DEX prices, finding optimal swap routes, analyzing price impact, splitting large orders, or assessing MEV risk. Trigger with phrases like "find best swap", "compare DEX prices", "route trade", "optimal swap route", "split order", "DEX aggregator", "check slippage", or "MEV protection".

Produce a complete positioning document using the Dunford framework — competitive alternatives, unique attributes, value, best-fit customer, market category, positioning statement, and tagline. Use when asked to "write our positioning", "define our value prop", "positioning statement", "what market are we in", "how do we position against X", "what's our tagline", or "write our messaging foundation".

Notion-as-source-of-truth dispatch board for running your work like an AI agency. One Tasks database is the source of truth; tasks flow Suggestion through Discussion, To-Do, In Progress, and Done with subtasks, recurring cadences, dependencies, and template subtrees. Batch execution fans approved To-Do rows out to parallel agents with per-task model selection. Use when capturing chat to Notion, running the To-Do queue, suggesting, approving, or discussing tasks, or coordinating multi-task batches. Trigger with "/agency-os" subcommands or natural-language variants ("add a suggestion: …", "let's discuss X", "run the queue").

Execute Groq production deployment checklist and go-live procedures. Use when deploying Groq integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "groq production", "deploy groq", "groq go-live", "groq launch checklist".

Configure Groq local development with hot reload, mocking, and testing. Use when setting up a Groq development environment, configuring mocked vs live test workflows, or establishing a fast iteration cycle with Groq. Trigger with phrases like "groq dev setup", "groq local development", "groq dev environment", "develop with groq".

Optimize Groq costs through model routing, token management, and usage monitoring. Use when analyzing Groq billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "groq cost", "groq billing", "reduce groq costs", "groq pricing", "groq expensive", "groq budget".

Tileset generation guide for SpriteCook. Use with spritecook-workflow-essentials when generating autotile tilesets through SpriteCook MCP tools, choosing tile sizes, using reference/edit/style asset IDs, and saving generated tileset asset IDs.

Animation guide for SpriteCook. Use with spritecook-workflow-essentials when importing source images, writing stronger motion prompts, and animating existing assets.

Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction with CUPED, sequential testing, and the operational tradeoffs vs platforms like Statsig and Optimizely. Triggers on warehouse-native experimentation, run experiments in BigQuery, run experiments in Snowflake, dbt experiments, SQL t-test, CUPED variance reduction, exposure log, sample ratio mismatch, sequential testing, mSPRT, doubly robust estimation, build vs buy experimentation. Also triggers when the team is choosing between platform and warehouse, building warehouse-native experiment infrastructure, auditing one, or running an experiment with a custom metric the platform cannot handle.

Generate SOX sample selections, testing workpapers, and control assessments. Use when planning quarterly or annual SOX 404 testing, pulling a sample for a control (revenue, P2P, ITGC, close), building a testing workpaper template, or evaluating and classifying a control deficiency.

Adds SEO essentials to a Power Pages SPA site, including robots.txt, sitemap.xml, meta tags, Open Graph tags, and favicon configuration. Use when the user wants to improve search engine optimization or make their site more searchable.

Always use this skill when the user wants to create a new Figma Design, FigJam, or Slides file. You MUST invoke this skill BEFORE every `create_new_file` tool call.

Test an IWSDK app for Meta VR Glasses — gaze-and-pinch input, the glasses' narrower field of view, and gaze preview on a Quest without eye tracking. Use when the user targets Meta VR Glasses, asks for gaze or eye-tracking input, or wants to check that content fits the glasses' view.

Use this skill when the user wants to convert a Dagster @op or @asset that runs arbitrary Python (computation, API calls, pandas, boto3) into an equivalent Orchestra Python pipeline task. Triggers: any mention of migrating or rewriting Dagster ops/assets to Orchestra; plain @op / @asset / @multi_asset functions containing Python logic (not a dedicated integration like dbt/Airbyte/Fivetran).

This skill should be used when the user says "arn-code-review-pr", "review PR feedback", "analyze PR comments", "validate PR review", "review Bitbucket PR", or wants to validate GitHub or Bitbucket PR review comments, categorize findings, and optionally connect back into the Arness pipeline for fixes. Do NOT use this for creating PRs (use arn-code-ship) or reviewing implementation quality (use arn-code-review-implementation).

This skill should be used when the user says "arness code plan", "arn-code-plan", "write a plan", "create plan", "implementation plan", "plan feature", "plan the spec", "plan from spec", "generate plan", "arness code plan FEATURE_X", "plan the bugfix", "plan bugfix", "make a plan", or wants to generate an implementation plan from a Arness specification. The skill invokes the arn-code-feature-planner agent to generate the plan, presents it for review, and iterates on user feedback until approved. Produces a PLAN_PREVIEW file that feeds into /arn-code-save-plan.

This skill should be used when the user says "feature spec", "arness code feature spec", "arn-code-feature-spec", "spec this feature", "help me spec", "design this feature", "feature design", "write a spec", "create a specification", "I have an idea for a feature", "let's flesh out this feature", "decompose feature", "spec XL feature", "resume spec", "continue spec", "finish my spec", "break down feature", or wants to iteratively develop a feature idea into a well-formed specification through guided conversation with architectural analysis. For XL features with decomposition hints, creates multiple sub-feature specs with full traceability. Produces specification documents capturing WHAT to build and WHY, which then feed into plan creation.

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc. Use it when you ask 'what should our north star be', 'which metric should this team goal on', 'our dashboard is a mess', 'how do we measure AI productivity', 'activation metric', 'OKR metrics', 'vanity metrics', or 'metrics review cadence'. Draws on 254 insights from 118 Lenny's Podcast guests incl. Sarah Tavel, Crystal Widjaja and Jessica Lachs.