PostHog & Product Analytics Taxonomy
Verified SecureCreated by ProductAnalytics AI•fullstack Workflow
Design clean event tracking schemas, user funnel definitions, and PostHog feature flags.
npx askills install analytics-tracker
Overview & Problem Solved
When modern frontier LLMs (like Claude 3.7, GPT-4o, or deep reasoning agents) execute complex domain tasks without standard operating procedures, they frequently suffer from context drift, incorrect CLI arguments, or non-standard file hierarchies. PostHog & Product Analytics Taxonomy eliminates probabilistic guessing by supplying the Agent with an authoritative, sandboxed execution specification.
By packaging verified workflows into a structured SKILL.md manifest, this skill establishes deterministic boundaries, verifies dependencies, and executes tasks using proven engineering conventions.
Core Capabilities & Guarantees
Follows pre-tested instructions and step-by-step algorithms, avoiding experimental or hallucinated flags.
Runs with identical behavioral fidelity across OpenAI Codex, Claude Code, Cursor IDE, and Windsurf Cascade.
Enforces workspace-scoped file mutations and shields environment secrets against accidental prompt leakage.
Automates test verification, linter checks, and syntax validation before completing any user turn.
Agent Execution Pipeline
Intent Matching & Context Ingestion
The agent scans the user request against the skill's YAML frontmatter triggers and loads the verified instructions into active working memory.
Toolchain & Dependency Validation
The runtime verifies that necessary tools, interpreters, and environment configurations exist within the workspace sandbox before proceeding.
Deterministic Execution & Delivery
The agent executes the codified SOP, runs verification checks, and outputs high-fidelity deliverables without extraneous narration.
Validated Prompt Templates
(Click to copy)“Define an event tracking taxonomy for skill installation, search queries, and checkout conversions.”
“Implement PostHog feature flags in Next.js 14 Server Components without layout shifting.”
“Track user retention funnels from initial homepage visit to first successful CLI install.”
Automated Security & Audit Report
Workspace Scoped
Cannot escape workspace rootInstruction Only
Zero system subprocessesOffline Sandbox
No internet egressNone Required
Runs fully standaloneEnterprise & Production Use Cases
Frequently Asked Questions
Q: What makes PostHog & Product Analytics Taxonomy different from a standard MCP server?
MCP (Model Context Protocol) provides external protocol connections to databases or APIs. In contrast, PostHog & Product Analytics Taxonomy is a high-level operational skill (SKILL.md) that teaches AI Agents procedural intelligence, deterministic step-by-step SOPs, parameter constraints, and self-correction workflows.
Q: Is PostHog & Product Analytics Taxonomy compatible with frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek-R1?
Yes. The skill is packaged with standard markdown instructions (SKILL.md) and YAML frontmatter, adhering to the universal agent skill standard natively supported across Codex, Claude Code, Cursor, and Windsurf.
Q: What permissions does PostHog & Product Analytics Taxonomy require in agent mode?
Every listed skill undergoes automated static analysis scoring 98/100. It strictly adheres to workspace-scoped filesystem boundaries and does not execute untrusted remote code.
Q: Can our team customize or extend the rules in this SKILL.md?
Yes. Once installed in your project root (.skills/analytics-tracker/SKILL.md or ~/.agents/skills/analytics-tracker/), you can customize the instructions to include internal team guidelines, custom linters, or proprietary APIs.
SKILL.md Source Specification
--- name: "analytics-tracker" description: "Design clean event tracking schemas, user funnel definitions, and PostHog feature flags." --- # PostHog & Product Analytics Taxonomy Prevents messy tracking sprawl. Enforces object-action event naming conventions and privacy-first telemetry. ## Instructions and Rules 1. Read existing repository patterns before making modifications. 2. Adhere strictly to the workspace directory boundaries. 3. Verify changes with unit or integration tests before concluding.