tweetsmash-api

name	tweetsmash-api
description	Uses the TweetSmash REST API to fetch bookmarks, inspect labels, and add or remove labels from saved tweets. Use when integrating TweetSmash into scripts, agents, workflows, cron jobs, or internal tools that need bookmark retrieval, filtering, pagination, or label management. Do not use for direct browser automation inside TweetSmash, unrelated X or Twitter APIs, or tasks that only need product marketing copy.
metadata	{"author":"Pedro Nauck","github":"https://github.com/pedronauck","repository":"https://github.com/pedronauck/skills"}

TweetSmash API

Use this skill to work directly with the TweetSmash REST API after verifying the current docs. Read references/api-reference.md before choosing an endpoint. Read references/bookmarks-filters.md only when bookmark filtering is required.

Procedures

Step 1: Validate Credentials and Scope

1. Confirm that a TweetSmash API key is available before making requests. Prefer TWEETSMASH_API_KEY in the shell environment.
2. Read references/api-reference.md to confirm the current endpoint, required headers, rate limits, and status codes.
3. If the task requires bookmark filtering or pagination, read references/bookmarks-filters.md.

Step 2: Build the Request

1. Use Authorization: Bearer $TWEETSMASH_API_KEY on every request.
2. Use Content-Type: application/json for all examples in this skill. Keep the base URL as https://api.tweetsmash.com/v1.
3. If the task fetches bookmarks with filters, execute python3 scripts/build-bookmarks-url.py with the needed flags to generate a correctly encoded URL.
4. If the task adds labels, start from assets/add-labels-body.json and fill in tweet_ids plus either label_id or label_name.
5. If the task removes labels, start from assets/remove-labels-body.json and fill in tweet_ids plus label_name.

Step 3: Execute the Correct Endpoint

1. Fetch bookmarks with GET /bookmarks. Use the URL from scripts/build-bookmarks-url.py when filters, search, or cursors are present.
2. List labels with GET /labels when the task needs current label IDs, label names, or usage counts.
3. Add labels with POST /labels/add when the task needs to organize one or more bookmarked tweets.
4. Remove labels with POST /labels/remove when the task needs to clean up or reclassify bookmarked tweets.
5. Use cURL for quick execution or translate the same request into the caller’s runtime only after the endpoint and payload are confirmed.

Step 4: Verify the Response

1. Confirm that the response JSON contains "status": true before reporting success.
2. For bookmark reads, inspect meta.next_cursor, meta.limit, and meta.total_count when pagination matters.
3. For label mutations, confirm the success message matches the intended action.
4. If the task depends on label existence, call GET /labels again after a mutation to verify the resulting state.

Step 5: Return a Usable Result

1. Summarize the request method, endpoint, and effective filters or payload fields that were used.
2. Return the response body or a structured summary, depending on the caller’s requested output format.
3. If follow-up pagination is possible, expose meta.next_cursor so the next request can continue from the prior page.

Error Handling

• If authentication fails with 401, confirm that the bearer token is present, non-empty, and taken from the correct TweetSmash account.
• If the API returns 402, stop and report that the current plan does not permit the requested API access.
• If the API returns 429, stop sending additional requests, note the documented limit of 100 requests per hour per API key, and retry later.
• If a bookmark query becomes hard to assemble by hand, rerun python3 scripts/build-bookmarks-url.py --help and rebuild the URL instead of manually concatenating query strings.
• If a label mutation is ambiguous, list labels first with GET /labels and then rerun the mutation using the confirmed label identifier or label name.