Working with PostHog skills
This skill teaches agents how to use the
MCP tools well — minimum
context, minimum round-trips, minimum mistakes. If you are not yet familiar with
the tool surface itself, read the
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
- 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.
- Pick the smallest write primitive that does the job. A targeted
or is cheaper, safer, and clearer in version history than a
full body or full bundle replacement.
- Reads are cheap; concurrent overwrites are not. Always have a recent
from (or from the response of the previous write)
before calling any write tool, and pass it as .
- Authoring follows the Agent Skills spec.
Keep kebab-case, descriptions trigger-rich, body short, bulky
material in bundled files.
Decision tree: which tool do I call?
text
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
plus a sprawling
to change one paragraph and one script, stop — that's two narrower calls
(
plus
) or even a single
carrying both
and
.
Discover before you fetch
json
posthog:skill-list
{ "search": "fractal" }
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
doesn't narrow it enough, list
without it and scan, but do not start fetching candidate bodies blindly.
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
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.
skill-get(skill_name=...)
— read + manifest.
- 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.
- For each file the body explicitly points at for the current task, call
skill-file-get(file_path=...)
. Skip everything else.
- If the body references "see scripts/X for the rare case Y" and you are not
in case Y, do not fetch .
When in doubt, fewer files. You can always fetch one more on the next turn.
Authoring a new skill
Use a single
call with body
and initial files — the
skill lands at
complete. Do not create the skill empty and then
make N follow-up
calls; that's N extra versions and N
extra round-trips for no benefit.
json
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
- is the discovery surface. It is the only thing
returns. Make it trigger-rich (what the user might say) and
scope-honest (what the skill does and does not do).
- — kebab-case, max 64 chars, no leading/trailing/consecutive
hyphens. The spec validator rejects anything else.
- Body ≤ ~500 lines. Long preambles, exhaustive SQL, full example payloads,
and runnable code belong in , , or . The body
should route to those files, not inline them.
- File layout convention — for executable code,
for prose docs and examples, for templates / data. Agents can rely
on this for orientation when they only have the manifest.
- lists the tools the skill asks to use. It is a request, not a grant: a harness that reads the skill from a file treats the list as pre-approved, and a harness that loads the skill over MCP ignores it until the user approves that grant.
List only the tools the skill really uses, because padding the list widens the request.
An undeclared tool is not pre-approved, and the harness decides what happens next: it can ask the user, deny the call, or not expose the tool at all.
Some products enforce the list themselves, so an omitted tool makes the call fail there.
- End with a footer when adjacent skills exist: a short
bullet list of entries, each with a one-line handoff reason
("when to jump there"), so one skill invocation seeds discovery of the next.
Refer to skills by name only (no paths — related skills often live in other
products), and only list genuine next steps, not everything in the product.
Updating an existing skill
The single most common mistake is using
update(body=..., files=[...])
for a
small change. That works, but it round-trips the entire skill, makes the diff
unreadable in version history, and risks dropping files if
was
incomplete. Use the smallest primitive instead.
Always read first, capture
json
posthog:skill-get
{ "skill_name": "my-skill" }
Note the returned
— pass it as
on every write. After a
successful write, the response contains the new
; chain further writes
with that.
Body: full replacement vs incremental edits
Full replacement when you are restructuring the body:
json
posthog:skill-update
{ "skill_name": "my-skill", "body": "# my-skill\n\nNew body...", "base_version": 7 }
Incremental edits when you are tweaking a few lines (preferred for small
changes — easier to review, lower error surface):
json
posthog:skill-update
{
"skill_name": "my-skill",
"edits": [
{ "old": "Use Pillow for rendering.", "new": "Use Pillow ≥10.0 for rendering." },
{ "old": "## Old section title", "new": "## New section title" }
],
"base_version": 7
}
Each
must match exactly once in the current body, and
and
are mutually exclusive in one call.
Bundled file content edits
patches one or more existing files in place — non-targeted files
carry forward unchanged. This is the right primitive when you are tweaking
script logic or fixing a typo in a reference doc:
json
posthog:skill-update
{
"skill_name": "my-skill",
"file_edits": [
{
"path": "scripts/foo.py",
"edits": [{ "old": "ITERATIONS = 100", "new": "ITERATIONS = 250" }]
},
{
"path": "references/primer.md",
"edits": [{ "old": "## Outdated header", "new": "## Updated header" }]
}
],
"base_version": 7
}
cannot
add,
remove, or
rename files — only patch
existing ones. For structural changes, use the per-file tools.
Combining edits in a single call
You can combine
(body) and
(existing files) in one
call to publish a single coherent version when a change
spans both:
json
posthog:skill-update
{
"skill_name": "my-skill",
"edits": [{ "old": "## Configuration", "new": "## Setup" }],
"file_edits": [
{ "path": "scripts/run.py", "edits": [{ "old": "DEBUG = False", "new": "DEBUG = True" }] }
],
"base_version": 7
}
File-path parameter naming (read this before guessing)
The same concept — a bundled file's path — is named differently depending on
where it travels in the request, and this trips up agents working from
memory. There is one rule:
- — when the path is part of the URL (,
). These read/delete one file addressed by its path. Both
also accept and normalize it to , so the manifest key works.
- — when the path is a body field: , the
files=[{path, content, content_type}]
array, and file_edits=[{path, edits}]
.
- / — body fields on .
Mnemonic:
is the field name on a file
object (it sits next to
), so everything that carries a file object uses
; the two
tools that address a file by URL use
. When unsure, check the
tool's input schema rather than guessing.
Adding, removing, renaming files
Each is its own call, each publishes a new version:
json
posthog:skill-file-create
{ "skill_name": "my-skill", "path": "scripts/julia.py", "content": "...", "base_version": 7 }
json
posthog:skill-file-delete
{ "skill_name": "my-skill", "file_path": "scripts/old.py", "base_version": 8 }
json
posthog:skill-file-rename
{ "skill_name": "my-skill", "old_path": "scripts/julia.py", "new_path": "scripts/julia_set.py", "base_version": 9 }
is a true move — it carries the existing content
forward without resending it. Always prefer it over delete + create when the
content is unchanged.
When to use (rare)
Passing
to
replaces the entire bundle —
anything not in the array is dropped. This is the right tool only when you are
intentionally wiping and reseeding the bundle (e.g. importing a fresh local
SKILL.md tree). For almost every other case, prefer
plus per-file
CRUD.
Working with large multi-file skills
Skills with many files (10+) require extra discipline:
- Treat the manifest as the index. 's is your map.
Match each task step to one file and fetch only that one.
- Group structural changes into a sequence, not a fork. If you are renaming
three files, do them sequentially: , each chained
via the previous response's . That gives you three small reviewable
versions instead of one giant blob.
- Keep edits localised. A single with
targeting five files is fine. A single carrying ten
full file bodies is almost always a sign you should have used .
- Refactor the body itself first. If the body has grown past ~500 lines,
the right next step is usually to split content into new bundled files
before adding more material.
Concurrency:
Every write tool accepts
. Always pass it.
- The server compares to the current latest version. If they
match, the write succeeds and the new version is .
- If they differ, the write is rejected (someone else updated the skill).
Re-run , reconcile your changes against the new body, and
retry with the fresh .
- After a successful write, the response includes the new . Chain
further edits with that — do not re- between back-to-back writes you
control.
Skipping
does
not speed things up — it just turns a clean
"someone else won the race" error into a silent overwrite of their work.
Common pitfalls
- Calling with no search and then fetching every body —
defeats progressive disclosure. Read the descriptions first.
- Pre-fetching every bundled file after — same mistake on
the inner level. Fetch on demand from the body's directives.
- Using
update(body=..., files=[...])
for a one-line fix — round-trips
the entire skill, makes diffs unreadable, and risks dropping files. Use
/ .
- Using when you meant to add one file — drops every
file you didn't include. Use instead.
- Delete + create instead of rename — loses content history and costs an
extra version bump.
- Stale after chained writes — read the from the
previous write's response, not from your initial .
- Leaving off — accepts a silent overwrite. Always include
it once you've done a .
- Empty / vague — the skill becomes effectively undiscoverable
via search. Treat the description as the trigger contract.
- Long body + no bundled files — when a body crosses ~500 lines, refactor
into and rather than letting it grow.
- Mixing and in one update call — they're mutually exclusive.
Pick one.
- Guessing vs — file-get and file-delete take
(it's in the URL); create, rename (/), , and
take (it's a body field). See "File-path parameter
naming" above.
Archiving a skill
hides
every active version of a skill by name. It is
not version-scoped and
cannot be undone — the skill drops out of
and
for the whole team.
json
posthog:skill-archive
{ "skill_name": "my-skill" }
Before archiving,
the skill if you need to inspect or copy it
first. Archiving is the right tool for retiring a skill entirely; to remove a
single bundled file use
, and to roll back content
publish a new version rather than archiving.
Porting a local SKILL.md tree into PostHog
When migrating a local skill folder (e.g.
plus
,
,
):
- Read the local . Its frontmatter maps to , ,
, , , . The body after the
frontmatter becomes .
- Walk the bundled subdirs and gather every file as
{ path, content, content_type }
.
- Call once with everything — the skill lands at
complete. Do not split this into a create + N file-create
calls.
After the create, the skill is live for everyone via
.
When a skill is the wrong answer
Not every persistent prompt belongs in the skills store:
- One-off task instructions belong in the conversation, not in a skill.
- Personal scratchpads belong in agent memory or local files.
- Code is not a skill — if it's something a service runs, it belongs in the
repo.
A good skill is reusable, discoverable by description, and worth the cost of
keeping it correct over time.