/working-with-skills
Best practices for agents managing PostHog skills via the MCP `skill-*` tools — how to discover, read, create, update, and refactor skills efficiently, especially large skills with many bundled files. Use whenever you are about to call any `skill-*` tool, asked to author or edit
Claude Code
$ npx -y skills add posthog/posthog --skill working-with-skills --agent claude-code
Codex
$ npx skills add posthog/posthog --skill working-with-skills -a codex -y
Cursor
$ npx skills add posthog/posthog --skill working-with-skills -a cursor -y
Gemini CLI
$ npx skills add posthog/posthog --skill working-with-skills -a gemini-cli -y
GitHub Copilot
$ npx skills add posthog/posthog --skill working-with-skills -a github-copilot -y
OpenCode
$ npx skills add posthog/posthog --skill working-with-skills -a opencode -y
Windsurf
$ npx skills add posthog/posthog --skill working-with-skills -a windsurf -y
SKILL.md
working-with-skills.SKILL.mdname: working-with-skills
description: >-
Best practices for agents managing PostHog skills via the MCP `skill-*` tools —
how to discover, read, create, update, and refactor skills efficiently, especially
large skills with many bundled files. Use whenever you are about to call any
`skill-*` tool, asked to author or edit a shared skill, or troubleshoot
why a skill write was rejected. Also use when asked what skills are good for
or how to shape one (project hub, runbook, catalog, handover, daily driver).
Pairs with `skills-store` (which covers the raw tool surface) by adding the
decision-tree, efficiency, pattern, and pitfall guidance.
Working with PostHog skills
This skill teaches agents how to use the `skill-*` MCP tools well — minimum context, minimum round-trips, minimum mistakes. If you are not yet familiar with the tool surface itself, read the `skills-store` skill first for the catalog. This document is about _how to choose between the tools_ and _how to scale the workflow_ when skills get big.
Operating principles
1. **Progressive disclosure is non-negotiable.** Lists return descriptions, get returns body + manifest, file-get returns one file. Never preload bundled files "just in case" — every preloaded script is wasted context for the actual task. 2. **Pick the smallest write primitive that does the job.** A targeted `edits` or `file_edits` is cheaper, safer, and clearer in version history than a full body or full bundle replacement. 3. **Reads are cheap; concurrent overwrites are not.** Always have a recent `version` from `skill-get` (or from the response of the previous write) before calling any write tool, and pass it as `base_version`. 4. **Authoring follows the [Agent Skills spec](https://agentskills.io/specification).** Keep `name` kebab-case, descriptions trigger-rich, body short, bulky material in bundled files.
Decision tree: which tool do I call?
Need to know what's available?
└─► skill-list (names + descriptions only)
Need to use / inspect a specific skill?
└─► skill-get (body + file manifest, NO file contents)
└─► skill-file-get (one file, on demand, only as referenced)
Authoring a brand new skill?
└─► skill-create (body + all initial files in one call)
Editing an existing skill?
├─ Body change?
│ ├─ Substantial rewrite ............. update(body=...)
│ └─ Surgical tweak .................. update(edits=[{old, new}, ...])
├─ Bundled file content change?
│ └─ update(file_edits=[{path, edits:[...]}, ...])
├─ Add / remove / rename a file?
│ ├─ Add ............................. skill-file-create
│ ├─ Delete .......................... skill-file-delete
│ └─ Rename .......................... skill-file-rename
└─ Wholesale bundle reset (rare!) ....... update(files=[...]) # replaces ALL files
Renaming the skill itself?
└─► skill-rename (keeps versions, files, and owners)
Want a fork as the starting point?
└─► skill-duplicate (then update the copy)
Done with a skill entirely?
└─► skill-archive (hides ALL versions; cannot be undone)If you find yourself reaching for `update(body=...)` plus a sprawling `files=[...]` to change one paragraph and one script, stop — that's two narrower calls (`update(edits=[...])` plus `update(file_edits=[...])`) or even a single `update` carrying both `edits` and `file_edits`.
Discover before you fetch
posthog:skill-list
{ "search": "fractal" }`skill-list` is the right tool to "find a skill" — it returns names and descriptions only. Reading the descriptions is the entire point: pick the right skill before pulling any body. If `search` doesn't narrow it enough, list without it and scan, but do not start fetching candidate bodies blindly.
`skill-get` should be called **once per skill per task**, not per question. Cache the body in your working memory; fetch again only if you suspect the skill changed under you (e.g. a `409` on write — see "Concurrency" below).
Reading a large skill efficiently
Big skills (long body, many bundled files) are the case where lazy loading matters most.
1. `skill-get(skill_name=...)` — read `body` + `files[]` manifest. 2. Scan the body's table of contents / headings. The body should already tell you which file goes with which task — that's why bodies stay short and reference files by path. 3. For each file the body explicitly points at for _the current task_, call `skill-file-get(file_path=...)`. Skip everything else. 4. If the body references "see scripts/X for the rare case Y" and you are not in case Y, do not fetch `scripts/X`.
When in doubt, fewer files. You can always fetch one more on the next turn.
Authoring a new skill
Use a single `skill-create` call with body **and** initial files — the skill lands at `version: 1` complete. Do not create the skill empty and then make N follow-up `skill-file-create` calls; that's N extra versions and N extra round-trips for no benefit.
posthog:skill-create
{
"name": "my-skill",
"description": "What it does AND when to use it. Include trigger keywords.",
"body": "# my-skill\n\n## When to use\n...\n## Workflow\n...",
"license": "MIT",
"compatibility": "Requires Python 3.10+",
"allowed_tools": ["Bash", "Write"],
"metadata": { "author": "me", "category": "..." },
"files": [
{ "path": "scripts/foo.py", "content": "...", "content_type": "text/x-python" },
{ "path": "references/primer.md", "content": "...", "content_type": "text/markdown" }
]
}Authoring rules of thumb
- **`description` is the discovery surface.** It is the only thing
`skill-list` returns. Make it trigger-rich (what the user might say) and scope-honest (what the skill does and does not do).
- **`name`** — kebab-case, max 64 chars, no leading/trailing/consecutive
hyphens. The spec
Read more
name: working-with-skills description: >- Best practices for agents managing PostHog skills via the MCP `skill-*` tools — how to discover, read, create, update, and refactor skills efficiently, especially large skills with many bundled files. Use whenever you are about to call any `skill-*` tool, asked to author or edit a shared skill, or troubleshoot why a skill write was rejected. Also use when asked what skills are good for or how to shape one (project hub, runbook, catalog, handover, daily driver). Pairs with `skills-store` (which covers the raw tool surface) by adding the decision-tree, efficiency, pattern, and pitfall guidance.
Working with PostHog skills
This skill teaches agents how to use the `skill-*` MCP tools well — minimum context, minimum round-trips, minimum mistakes. If you are not yet familiar with the tool surface itself, read the `skills-store` skill first for the catalog. This document is about _how to choose between the tools_ and _how to scale the workflow_ when skills get big.
Operating principles
1. **Progressive disclosure is non-negotiable.** Lists return descriptions, get returns body + manifest, file-get returns one file. Never preload bundled files "just in case" — every preloaded script is wasted context for the actual task. 2. **Pick the smallest write primitive that does the job.** A targeted `edits` or `file_edits` is cheaper, safer, and clearer in version history than a full body or full bundle replacement. 3. **Reads are cheap; concurrent overwrites are not.** Always have a recent `version` from `skill-get` (or from the response of the previous write) before calling any write tool, and pass it as `base_version`. 4. **Authoring follows the [Agent Skills spec](https://agentskills.io/specification).** Keep `name` kebab-case, descriptions trigger-rich, body short, bulky material in bundled files.
Decision tree: which tool do I call?
Need to know what's available?
└─► skill-list (names + descriptions only)
Need to use / inspect a specific skill?
└─► skill-get (body + file manifest, NO file contents)
└─► skill-file-get (one file, on demand, only as referenced)
Authoring a brand new skill?
└─► skill-create (body + all initial files in one call)
Editing an existing skill?
├─ Body change?
│ ├─ Substantial rewrite ............. update(body=...)
│ └─ Surgical tweak .................. update(edits=[{old, new}, ...])
├─ Bundled file content change?
│ └─ update(file_edits=[{path, edits:[...]}, ...])
├─ Add / remove / rename a file?
│ ├─ Add ............................. skill-file-create
│ ├─ Delete .......................... skill-file-delete
│ └─ Rename .......................... skill-file-rename
└─ Wholesale bundle reset (rare!) ....... update(files=[...]) # replaces ALL files
Renaming the skill itself?
└─► skill-rename (keeps versions, files, and owners)
Want a fork as the starting point?
└─► skill-duplicate (then update the copy)
Done with a skill entirely?
└─► skill-archive (hides ALL versions; cannot be undone)If you find yourself reaching for `update(body=...)` plus a sprawling `files=[...]` to change one paragraph and one script, stop — that's two narrower calls (`update(edits=[...])` plus `update(file_edits=[...])`) or even a single `update` carrying both `edits` and `file_edits`.
Discover before you fetch
posthog:skill-list
{ "search": "fractal" }`skill-list` is the right tool to "find a skill" — it returns names and descriptions only. Reading the descriptions is the entire point: pick the right skill before pulling any body. If `search` doesn't narrow it enough, list without it and scan, but do not start fetching candidate bodies blindly.
`skill-get` should be called **once per skill per task**, not per question. Cache the body in your working memory; fetch again only if you suspect the skill changed under you (e.g. a `409` on write — see "Concurrency" below).
Reading a large skill efficiently
Big skills (long body, many bundled files) are the case where lazy loading matters most.
1. `skill-get(skill_name=...)` — read `body` + `files[]` manifest. 2. Scan the body's table of contents / headings. The body should already tell you which file goes with which task — that's why bodies stay short and reference files by path. 3. For each file the body explicitly points at for _the current task_, call `skill-file-get(file_path=...)`. Skip everything else. 4. If the body references "see scripts/X for the rare case Y" and you are not in case Y, do not fetch `scripts/X`.
When in doubt, fewer files. You can always fetch one more on the next turn.
Authoring a new skill
Use a single `skill-create` call with body **and** initial files — the skill lands at `version: 1` complete. Do not create the skill empty and then make N follow-up `skill-file-create` calls; that's N extra versions and N extra round-trips for no benefit.
posthog:skill-create
{
"name": "my-skill",
"description": "What it does AND when to use it. Include trigger keywords.",
"body": "# my-skill\n\n## When to use\n...\n## Workflow\n...",
"license": "MIT",
"compatibility": "Requires Python 3.10+",
"allowed_tools": ["Bash", "Write"],
"metadata": { "author": "me", "category": "..." },
"files": [
{ "path": "scripts/foo.py", "content": "...", "content_type": "text/x-python" },
{ "path": "references/primer.md", "content": "...", "content_type": "text/markdown" }
]
}Authoring rules of thumb
- **`description` is the discovery surface.** It is the only thing
`skill-list` returns. Make it trigger-rich (what the user might say) and scope-honest (what the skill does and does not do).
- **`name`** — kebab-case, max 64 chars, no leading/trailing/consecutive
hyphens. The spec
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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Questions about working-with-skills.
- Which coding agents can use working-with-skills?
- working-with-skills installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

