Looper
ksimback/looper
Scaffold a well-designed agent loop with best-practice coaching and a cross-model review council.
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed.
Install Feature Usage Feed
$ npx skills add PostHog/posthog --skill feature-usage-feed -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install PostHog/posthog feature-usage-feed --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .claude/skills/feature-usage-feed && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .claude/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feedType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add PostHog/posthog --skill feature-usage-feed -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install PostHog/posthog feature-usage-feed --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .agents/skills/feature-usage-feed && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .agents/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PostHog/posthog --skill feature-usage-feed -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install PostHog/posthog feature-usage-feed --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .cursor/skills/feature-usage-feed && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .cursor/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/PostHog/posthog.git --path products/ai_observability/skills/feature-usage-feed--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add PostHog/posthog --skill feature-usage-feed -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install PostHog/posthog feature-usage-feed --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .gemini/skills/feature-usage-feed && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .gemini/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install PostHog/posthog feature-usage-feedInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add PostHog/posthog --skill feature-usage-feed -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .github/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .github/skills/feature-usage-feed && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .github/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add PostHog/posthog --skill feature-usage-feed -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install PostHog/posthog feature-usage-feed --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/products/ai_observability/skills/feature-usage-feed .opencode/skills/feature-usage-feed && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "feature-usage-feed" agent skill from https://github.com/PostHog/posthog/tree/master/products/ai_observability/skills/feature-usage-feed into .opencode/skills/feature-usage-feed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-usage-feed", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
feature-usage-feed- GitHub stars
- 40k
- Token cost
- ~7.6k tokens
- SKILL.md length
- 2,898 words
- Files
- 1
- Skills in repo
- 252
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed.
- Works in 7 steps: Identify the filter → Pull a handful of sample traces → Draft the LLM-judge prompt → …
- Someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what theyre investigating
- SKILL.md covers When to use, Two filter patterns, Prerequisites and Tools, plus 5 more sections
- Reaches us.posthog.com
What it does
Feature Usage Feed is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions they're trying to answer, and what patterns surface — without manually reading hundreds of traces. Assumes the feature emits $aigeneration and $aievaluation events with $sessionid linkage to the trigger…
Its SKILL.md is about 7.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM evaluation and Session handoff. It works with PostHog and Slack. The repository describes itself as: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error…
When your agent uses it
- Someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what theyre investigating
- What questions theyre trying to answer
- What patterns surface — without manually reading hundreds of traces
- Users recording (the standard setup post the session-summary linkage PRs)
Example prompts
- “re investigating, what questions they”
- “/feature-usage-feed”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Identify the filter
- Pull a handful of sample traces
- Draft the LLM-judge prompt
- Create the eval (disabled), test, iterate
- Enable the eval
- Build the workflow (UI only)
- End-to-end verify in production
What it can do on your machine
Read from SKILL.md and the folder at commit 10f9ad7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
us.posthog.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Feature Usage Feed loads about 7.6k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 2,898 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,898 words (~7,577 tokens).
“Some PostHog features (group session summaries, single session summaries, replay AI search, error tracking AI debug, etc.) generate hundreds or thousands of LLM traces per week. Reading them by hand is not feasible. This skill covers the end-to-end pattern for…”
- name
- feature-usage-feed
Files
Just SKILL.md in products/ai_observability/skills/feature-usage-feed of PostHog/posthog.
Open the folder on GitHubat commit 10f9ad7
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in PostHog/posthog, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Feature Usage Feed next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Feature Usage Feed this skillPostHog/posthog | 40k | — | ~7.6k | Automated safety check: Pass | Custom licence | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Context Auditundefined-ui/second-brain-os | 1k | — | ~802 | Automated safety check: Pass | MIT | |
| Benchflowbenchflow-ai/benchflow | 353 | — | ~1.9k | Automated safety check: Notes | Apache-2.0 | |
| Add Benchmarkai-twinkle/Eval | 117 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Email Evalstokencanopy/e2a | 192 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Feature Usage Feed
What does Feature Usage Feed do?
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Feature Usage Feed is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed.
When should I use Feature Usage Feed?
Feature Usage Feed fits situations like: someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what theyre investigating; what questions theyre trying to answer; what patterns surface — without manually reading hundreds of traces; users recording (the standard setup post the session-summary linkage PRs).
How do I install Feature Usage Feed in Claude Code?
Run `npx skills add PostHog/posthog --skill feature-usage-feed -a claude-code`. Or copy the skill folder (products/ai_observability/skills/feature-usage-feed in PostHog/posthog) into .claude/skills/feature-usage-feed in your project. Claude Code loads it when a task matches its description.
How do I install Feature Usage Feed in Codex?
Run `npx skills add PostHog/posthog --skill feature-usage-feed -a codex`. Or copy the skill folder (products/ai_observability/skills/feature-usage-feed in PostHog/posthog) into .agents/skills/feature-usage-feed in your project. Codex loads it when a task matches its description.
Can I use Feature Usage Feed in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add PostHog/posthog --skill feature-usage-feed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-usage-feed, .gemini/skills/feature-usage-feed, .github/skills/feature-usage-feed and .opencode/skills/feature-usage-feed in your project.
What does Feature Usage Feed need to run?
SKILL.md names no scripts, command-line tools or credentials: Feature Usage Feed is instructions for the agent only.
Does Feature Usage Feed access the network?
SKILL.md names 1 domain. In commands or code: us.posthog.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Feature Usage Feed safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Feature Usage Feed use?
Feature Usage Feed has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Feature Usage Feed use?
About 7.6k tokens (SKILL.md is roughly 30k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Feature Usage Feed?
Skills that share tags, products or a category with Feature Usage Feed: Looper (ksimback/looper, 710 stars), Context Audit (undefined-ui/second-brain-os, 1k stars), Benchflow (benchflow-ai/benchflow, 353 stars) and Add Benchmark (ai-twinkle/Eval, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Feature Usage Feed?
PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,182 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 8, 2026.
Source: PostHog/posthog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.