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SkillsMP a collecté 863 skills depuis 420company/artemis. Ouvrez un skill pour examiner sa source et ses détails.
420company/artemisAffichage de 40 skills collectés sur 863.
Guides exploration of $autocapture events captured by posthog-js to understand user interactions, find CSS selectors (especially data-attr attributes), evaluate selector uniqueness, query matching clicks ad-hoc, and create actions. Use when the user asks…
Langue du texte source : anglais
Investigate LLM analytics clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
Langue du texte source : anglais
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and…
Langue du texte source : anglais
ABSOLUTE MUST to debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace URL (e.g. /llm-observability/traces/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify…
Langue du texte source : anglais
Resolves experiment references from natural language to concrete experiment IDs. Handles name lookups, fuzzy descriptions ('the signup experiment', 'my latest experiment'), status filtering, and disambiguation when multiple experiments match. TRIGGER when:…
Langue du texte source : anglais
Add PostHog error tracking to capture and monitor exceptions. Use after implementing features or reviewing PRs to ensure errors are tracked with stack traces and source maps. Also handles initial PostHog SDK setup if not yet installed.
Langue du texte source : anglais
Add PostHog feature flags to gate new functionality. Use after implementing features or reviewing PRs to ensure safe rollouts with feature flag controls. Also handles initial PostHog SDK setup if not yet installed.
Langue du texte source : anglais
Add PostHog SDK integration to your application. Use when setting up PostHog for the first time or reviewing PRs that need PostHog initialization. Covers SDK installation, provider setup, and basic configuration for any framework.
Langue du texte source : anglais
Add PostHog LLM analytics to trace AI model usage. Use after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. Also handles initial PostHog SDK setup if not yet installed.
Langue du texte source : anglais
Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured.
Langue du texte source : anglais
Add PostHog product analytics events to track user behavior. Use after implementing new features or reviewing PRs to ensure meaningful user actions are captured. Also handles initial PostHog SDK setup if not yet installed.
Langue du texte source : anglais
Manually send a Claude Code session log to PostHog LLM Analytics
Langue du texte source : anglais
Set up PostHog LLM Analytics to capture Claude Code sessions
Langue du texte source : anglais
Check if Claude Code sessions are being sent to PostHog LLM Analytics
Langue du texte source : anglais
Guides experiment state transitions: launching, pausing, resuming, ending, shipping variants, archiving, resetting, and duplicating. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each…
Langue du texte source : anglais
Manage PostHog subscriptions — scheduled email, Slack, or webhook deliveries of insight or dashboard snapshots. Use when the user wants to subscribe to an insight or dashboard, check existing subscriptions, change delivery frequency, add or remove recipients,…
Langue du texte source : anglais
HogQL query examples and reference material for PostHog data. Read when writing SQL queries to find patterns for analytics (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces) and system data…
Langue du texte source : anglais
How to query the document_embeddings table for signals data using HogQL. Read when you need to perform semantic search over signals, fetch signals for a report or list signal types.
Langue du texte source : anglais
Discover and use shared team skills stored in PostHog. Use when the user asks to list, browse, load, or manage "shared skills", "team skills", or references the "skills store" / "skill store".
Langue du texte source : anglais
Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest, Dribbble, Discord, Slack, Kick, Twitch, Mastodon, Bluesky, Lemmy,…
Langue du texte source : anglais
Knowledge about AI agent API compatibility. Use when user asks about API readiness, agent compatibility, or wants to improve their API for AI consumption.
Langue du texte source : anglais
Postman CLI reference and git sync file structure knowledge - provides context for CLI-based commands (send-request, generate-spec, run-collection)
Langue du texte source : anglais
Postman concepts and MCP tool guidance. Loaded when working with Postman MCP tools to make better decisions about tool selection and workarounds.
Langue du texte source : anglais
Automatically routes Postman and API-related requests to the correct command. Use when user mentions APIs, collections, specs, testing, mocks, docs, security, or Postman.
Langue du texte source : anglais
Analyze any API for AI agent compatibility. Scans OpenAPI specs across 8 pillars (48 checks), scores agent-readiness, and provides fix recommendations. Triggers on: 'Is my API agent-ready?', 'Scan my API', 'Analyze my OpenAPI spec', 'What\'s wrong with my API…
Langue du texte source : anglais
Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical…
Langue du texte source : anglais
Reverse-engineer the current state of analytics tracking from a codebase. Scans for SDK calls, identity management, and instrumentation patterns to produce a factual inventory — not recommendations. Outputs .telemetry/current-state.yaml and a timestamped…
Langue du texte source : anglais
Write a business case for adding product telemetry and analytics to a product. Produces a concise, stakeholder-ready document explaining what telemetry enables, what you're currently blind to, what's involved in implementation, and the business value. Sits…
Langue du texte source : anglais
Design an opinionated target tracking plan and produce an explicit delta from current state to target. Combines the product model, current-state audit, and telemetry best practices to decide what events, properties, entities, and group hierarchies should…
Langue du texte source : anglais
Translate a tracking plan into an SDK-specific instrumentation guide. Shows how to make identify, group, and track calls using the target analytics SDK with real template code, architecture guidance, and constraint documentation. Outputs…
Langue du texte source : anglais
Generate real instrumentation code from the tracking plan and instrumentation guide. Produces typed SDK wrapper functions, identity management, and integration guidance. Outputs files in a tracking/ directory. Use when the user wants to generate or regenerate…
Langue du texte source : anglais
Update the tracking plan when a feature ships, changes, or is removed. Assesses whether new events are needed, extends existing events with properties where possible, and produces a versioned mini-delta with changelog entry. Updates…
Langue du texte source : anglais
Build a structured product model by scanning the codebase and talking to the user. Produces .telemetry/product.md — a description of what the product does, who uses it, how value flows, and what entities exist. Use when starting telemetry work on a new…
Langue du texte source : anglais
Proactive tracking coverage monitor. Use automatically after code changes that add new features, modify existing functionality, or change user-facing behavior. Checks whether the tracking plan covers the changes and suggests new events, properties, or…
Langue du texte source : anglais
Build AI agents with Pydantic AI — tools, capabilities, structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, stream output, define…
Langue du texte source : anglais
Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports…
Langue du texte source : anglais
Loads coding rules from Qodo most relevant to the current coding task by generating a semantic search query from the assignment. Use when Qodo is configured and the user asks to write, edit, refactor, or review code, or when starting implementation planning.…
Langue du texte source : anglais
Use when the user wants to review Qodo PR feedback or fix code review comments. Capabilities: view issues by severity, apply fixes interactively or in batch, reply to inline comments, post fix summaries (GitHub, GitLab, Bitbucket, Azure DevOps, Gerrit)
Langue du texte source : anglais
Generates standalone Markdown reference documentation for any Qt/C++ source files — Qt Widgets classes, Qt Quick backends, Qt/C++ modules, plain C++ utilities, structs, free-function headers, and entry points like main.cpp. Use this skill to document any .h…
Langue du texte source : anglais
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error…
Langue du texte source : anglais