agentleFS
JPeetzJPeetz/buffer-api-skill/buffer-api/SKILL.md

buffer-api

Skill0 starsChanged 3 months agoMITView on GitHub

Schedule, manage and analyze social media posts via the Buffer GraphQL API from any AI agent.

  • Reads credentials

2 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. proflead/codex-skills-library★ 153same name
    2. genericService/claude-skills★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 3 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use Buffer's GraphQL API to schedule, manage, and analyze social posts across Instagram, Threads, LinkedIn, X/Twitter, Facebook, Google …

    line 16
  2. Very specific:

    ALWAYS spread both PostActionSuccess AND MutationError (or your ...

    line 93
  3. Very specific:

    Threads / X / Bluesky / Mastodon: create a threaded post (metadata.{network}.thread)

    line 148
  4. Distinctive:

    LinkedIn / Facebook / Instagram: add a first comment on the scheduled post

    line 149
  5. Very specific:

    Always include the ... on <Error> fragment so mutation errors surface.

    line 157
  6. Very specific:

    urllib / non-ASCII bodies: if you are writing Python, urllib.request throws UnicodeEncodeError: 'latin-1' on a non-ASCII char (e.g.

    line 165
  7. Very specific:

    JSON-LD/latin-1 hardware: run scripted API calls with a healthy interpreter (env -u PYTHONPATH python3 on the Hermes box).

    line 168
  8. Distinctive:

    Do not use it.

    line 172
  9. Very specific:

    JSON-LD / non-ASCII bodies: use requests or any JSON-safe HTTP client, not urllib (latin-1 crash).

    line 193
  10. Very specific:

    After creating a post, poll post(input:{ id }) and confirm status: scheduled -> sent.

    line 221

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Buffer API — Schedule, Manage & Analyze Social Posts

Use Buffer's GraphQL API to schedule, manage, and analyze social posts across Instagram, Threads, LinkedIn, X/Twitter, Facebook, Google Business, Mastodon, YouTube, Pinterest, and Bluesky — from any AI agent (Claude, Cursor, Codex, OpenClaw, Hermes, n8n).

When to Use

  • Schedule/create/delete/retrieve posts or drafts in a Buffer queue.
  • Automate repetitive posting or cross-platform content distribution.
  • Retrieve account, organization, channel, idea, post-metric state.
  • Route TikTok (and other owned-account) automation through Buffer's approved integration instead of a platform's Direct Post API.

Progress Disclosure (read only what you need)

  • Quick operation (list channels, schedule a post, check a post) → SKILL.md alone.
  • Media / images / video / per-network metadata / threads → references/media-and-metadata.md.
  • Full API reference (all types, unions, inputs) → local spec at ../openclaw-imports/openclaw-seo-geo-optimization/... if needed; else fetch https://developers.buffer.com/reference.html.
  • MCP alternative (if your host supports Model Context Protocol): Buffer ships a first-party MCP server at https://mcp.buffer.com/mcp with header Authorization: Bearer <API_KEY>. Prefer the raw GraphQL below when a script exists or when you need the bytes (binary media) that MCP tends to not expose.

Prerequisites

  • A Buffer account with at least one connected channel and an API key (https://publish.buffer.com/settings/api). The key acts on YOUR OWN account.
  • Auth: send Authorization: Bearer <API_KEY> on every request to https://api.buffer.com (GraphQL, POST, Content-Type: application/json).
  • Least-privilege: the API key is scoped to your own Buffer account; never ask a user for a platform's account password. Use the Buffer key the same way you would an app password.
  • For images/video on a post: the asset URL must be public. See references/media-and-metadata.md for hosting + verification.

Core Endpoint & Auth

POST https://api.buffer.com
Authorization: Bearer <API_KEY>
Content-Type: application/json
Body: {"query": "<graphql>", "variables": {...}}

The API is GraphQL only. Use the Buffer API Explorer (https://developers.buffer.com/explorer.html) to exercise schema. Scalar DateTime is ISO 8601 UTC.

1. Account & Organization

Find org + channel IDs — the two IDs you'll need for nearly everything.

query GetAccount {
  account { id email organizations { id name } }
}
query GetChannels {
  channels(input: { organizationId: "ORG_ID" }) { id name service type }
}

service = the platform (instagram, tiktok, linkedin, twitter/mastodon/youtube/pinterest/bluesky/facebook/gbp). type = Page/Profile/Business/Group/Account.

2. Create a Post

mutation CreatePost {
  createPost(input: {
    text: "Hello from the Buffer API!"
    channelId: "CHANNEL_ID"
    schedulingType: automatic
    mode: addToQueue           # addToQueue or customScheduled
    # dueAt: "2026-03-10T15:00:00.000Z"   # required when mode=customScheduled
  }) {
    ... on PostActionSuccess { post { id text dueAt } }
    ... on MutationError { message }
  }
}
  • Required: text, channelId, schedulingType: automatic. At least one of mode (addToQueue / customScheduled) or dueAt.
  • mode: addToQueue → next available slot from the channel's posting schedule.
  • mode: customScheduled + dueAt → exact date/time (ISO 8601, UTC).
  • ALWAYS spread both PostActionSuccess AND MutationError (or your ... on { }) so errors surface, not silently vanish.

3. Images / Video / Assets (media by public URL)

assets is an ordered list; each entry carries exactly one of image, video, document, or link. For an image post:

createPost(input: {
  text: "Hello there, this is another one!"
  channelId: "CHANNEL_ID" schedulingType: automatic mode: addToQueue
  assets: [ { image: { url: "https://your-cdn.example.com/image.jpg" } } ]
}) { ... on PostCreatedSuccess { post { id assets { id mimeType } } } ... on CreateError { message } }

The url MUST be publicly reachable — Buffer fetches media from that URL. See references/media-and-metadata.md (hosting + a curl verification you should run before creating the post).

4. Retrieve / Manage Posts

  • Get one post (poll status — note: Buffer polls by post(input: { id }), NOT a getPost field):
query PostById { post(input: { id: "POST_ID" }) { id text status dueAt channelId } }

status values: scheduled → sent (successfully published) → error. Confirm status == "sent" (the string is sent, not published).

  • List posts (cursor pagination):
query GetPosts {
  posts(first: 20, after: "CURSOR", input: { organizationId: "ORG_ID"
    filter: { status: [scheduled, sent] channelIds: ["CHANNEL_ID"] } }) {
    edges { node { id text status dueAt } }
    pageInfo { endCursor hasNextPage }
  }
}

first + after are cursor-based; loop after until hasNextPage is false.

  • Edit editPost mutation (same union shape).
  • Delete deletePost(input: { postId }) (returns DeletePostPayload union).
  • Move in queue movePostInQueue (experimental) — reorder queued posts.

5. Ideas (save content for later)

  • Create: createIdea(input: { organizationId ideaGroupId text media }).
  • List: ideas(input: { organizationId } ). Media attaches via url too (image/video/gif document/link; video not exposed on public API).
  • Idea groups: ideaGroups(input:).

6. Post Metrics

Once a post is sent, per-network performance is normalized on Post.metrics.

  • aggregatedPostMetrics (aggregate across channels/posts)
  • dailyPostingLimits (per-channel daily caps)
  • post(input: { id }) { metrics { ... } } for a single post. Metrics are read-only and available for personal/workflow use.

Supported Platforms & Per-Network Metadata

Supported services: instagram, threads, linkedin, twitter, facebook, google-business-profiles, mastodon, youtube, pinterest, bluesky. Beyond the shared fields, metadata on createPost per network enables:

  • Threads / X / Bluesky / Mastodon: create a threaded post (metadata.{network}.thread)
  • LinkedIn / Facebook / Instagram: add a first comment on the scheduled post
  • Instagram: post type (post / story / reel), user tags per image
  • Pinterest: attach a board to a pin

You only provide the metadata for the network the channel belongs to. Read references/media-and-metadata.md for the exact per-network shape.

Errors & Error Handling

  • Always include the ... on <Error> fragment so mutation errors surface.
  • Common: invalid channelId; missing required text/channelId; queue limit reached.
  • A "same thing twice so close together" from Buffer = ALREADY QUEUED (the mutation returns a limit/duplicate-like error). Treat ok=false on a retry as already-queued, do NOT keep re-submitting.
  • Union types: createPost returns PostActionPayload (union). Spread: { ... on PostCreatedSuccess { post {...} } ... on CreateError { message } }.
  • post QUERY (not getPost): Buffer has NO getPost field; the arg is input: { id }.
  • urllib / non-ASCII bodies: if you are writing Python, urllib.request throws UnicodeEncodeError: 'latin-1' on a non-ASCII char (e.g. an em dash) in a JSON body — use requests.post(..., json=...) for non-ASCII payloads. This is a real, repeated gotcha.
  • JSON-LD/latin-1 hardware: run scripted API calls with a healthy interpreter (env -u PYTHONPATH python3 on the Hermes box).
  • Auth is Bearer only. The legacy REST (api.bufferapp.com/1/) is RETIRED (2027-02-01) and 401s "Public API tokens are not accepted for REST API access." Do not use it.

End-to-end flows (cheat sheets)

  • Schedule next available: account → organizations → channels(input:{organizationId}) → createPost(mode:addToQueue) → poll post(input:{id}) until status -> sent.
  • Post with an image: host public URL → verify (GET 200) → createPost(assets:[{image:{url}}]) → poll.
  • Stand up TikTok / IG automation: use Buffer + metadata (post type) for owned-account scheduling, not the platform's Direct Post API (Triggered-Use) — one shared API key across channels, no per-platform token juggling.

Pitfalls & Hard-Won Lessons

  1. API is GraphQL, not REST. Point everything at https://api.buffer.com. Legacy REST is retired. api.bufferapp.com/1/ is dead.
  2. Polling is post(input:{ id }), not getPost. A query field named getPost does NOT exist. Use post(input: { id: "..." }) { id status }. Poll confirms both creation and sending->sent.
  3. status == "sent" — the string is sent, not published, in Buffer GraphQL.
  4. Asset URL must be public — images/videos via assets:[{image:{url}}]. No raw blob upload mutation. Verify with a HEAD/GET (200) before creating.
  5. JSON-LD / non-ASCII bodies: use requests or any JSON-safe HTTP client, not urllib (latin-1 crash).
  6. Don't hammer a duplicate. Close-together repeat of the same post = already queued. Handle ok=false as already-queued; don't retry.
  7. Rate / queue limits surface as CreateError / LimitReachedError — read the message, adjust cadence, never blind-retry-loop.
  8. No auth to Publish UI for most graph ops — some preview 🧪 endpoints (post templates, updatePostTemplate) are preview-only.
  9. Custom scalars ≠ generic ID (verified live). Buffer params like organizationId/channelId/postId use DISTINCT custom scalars (OrganizationId!, ChannelId!, PostId!). Declaring a query variable as ID! where the field expects OrganizationId! fails GraphQL validation. Either inline the ID as a string literal or type the variable with the exact scalar.

References

  • references/api-reference.md — full GraphQL schema: all queries/mutations, type fields, unions (account, channels, posts, ideas, metrics, post templates).
  • references/media-and-metadata.md — public media hosting + verification, per-network metadata shapes (threads/bluesky/mastodon threads; LI/FB/IG first comment; IG post type/user tags; Pinterest board), scheduling, ideas.
  • references/graphql-helpers.md — ready-to-run queries and mutation templates.
  • scripts/buffer_graphql.py — a small, dependency-light Python helper to POST JSON GraphQL safely (handles non-ASCII, unions, pagination), so you don't re-render a fragment stack.

Verification

  • Run scripts/buffer_graphql.py --query "{ account { id organizations { id } } }" → expect {"account":{...}} (proves auth + endpoint).
  • After creating a post, poll post(input:{ id }) and confirm status: scheduled -> sent.

Last verified: 2026-08-21 against https://developers.buffer.com (guide + reference).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.