Instagram Saved Reels Sort

What it does

Moved: AI 14, Recipes 9, Travel 6
Left in Saved: 5 (3 with no description, 2 with no clear topic)

What this one touches

Not a pure one-paste skill. The source below is SKILL.md only. It runs three Python scripts from the author's GitHub repo, which you must clone. In the submission, the scripts call only instagram-cli and write only under ~/.instagram-saved-reels-sort/. The repo may have changed since then. Needs an Instagram account connected through instagram-cli. It never asks for a password or token. Setup can create new collections on your Instagram account. Sorting adds saved reels to your collections. The source says nothing is deleted, unpublished, or unsaved, and the scripts contain no delete call. Muse reads reel summaries from instagram-cli media-understanding, so reel content is processed by that tool. You confirm the first batch. After that, a recurring run can file reels without a review of each batch.

Install

Copy this block and paste it into your Muse chat. Muse does the install and confirms when it's done.

Full source

This is the exact text Muse installs. Read it. That's the whole trust model.

---
name: "instagram_saved_reels_sort"
description: "Sort Instagram saved reels into the user's topic collections, in small reviewable batches. Use when the user asks to sort saved reels, run a recurring sort, or work through a saved-reels backlog. Requires a connected Instagram account (instagram-cli)."
---

# Instagram Saved Reels Sort

## Purpose
Move saved Instagram reels out of the unsorted Saved bucket into the user's
own topic collections, two pages at a time, with a human review step before
anything moves. Built for backlogs of hundreds or thousands of saved reels,
and for a light recurring run that keeps new saves filed.

## Requirements
- An agent environment with the `instagram-cli` tool available and the user's
  Instagram account connected (`instagram-cli accounts` must return an
  account). This skill was built for Muse; on other platforms, substitute the
  equivalent commands for listing saved posts, describing media, managing
  saved collections, and moving posts between collections.
- Python 3 (standard library only).

## Setup (one time)
1. Run `python3 bin/setup.py`. It verifies the Instagram connection, lists the
   user's existing saved collections, and walks through defining topics.
2. The user picks a short theme key per topic (e.g. `ai`, `recipes`,
   `travel`). Collections that don't exist yet are created on Instagram.
3. Setup writes `~/.instagram-saved-reels-sort/config.json` (account id and
   the key → collection-id map) and a starter
   `~/.instagram-saved-reels-sort/my-collections.md`.
4. The user writes their routing rules (which reels go where, plus the edge
   cases) into `my-collections.md`. See
   `references/collections-template.md` for a worked example. This file is the
   source of truth for every batch; keep it current as tastes change.

## Tooling
Helpers live in `bin/`; all state (config, cursor, batch files) lives in
`~/.instagram-saved-reels-sort/`, never in `/tmp`, which can be wiped without
warning and would lose your place mid-sort.

- Fetch a batch: `python3 bin/fetch_batch.py fetch 2 <label>`: pulls 2 pages
  of saved posts (50/page), keeps reels, runs media-understanding, writes
  `<label>_reels.json` and `<label>_review.txt`, advances `cursor.txt`.
- Re-sync a lost cursor: `python3 bin/fetch_batch.py advance <pages>`: walks
  forward N pages without processing.
- Sort a batch: `python3 bin/sort_batch.py --batch <label> --map <map.json>`:
  moves reels into collections per a `{media_id: theme_key}` map.

Collection map and routing rules: the user's `my-collections.md` (template:
`references/collections-template.md`). Step-by-step with examples and
troubleshooting: `references/batch-procedure.md`. Dining dossiers (opt-in
per-restaurant health-inspection + review-trend reports for food-spot reels):
`references/dining-dossier.md`.

## Workflow
1. Fetch one batch (`fetch 2 <label>`), then read `<label>_review.txt`.
2. Assign every reel a theme key per the user's `my-collections.md`, or leave
   it unassigned (stays in Saved).
3. Write the map to `<label>_map.json` (`{"<media_id>": "<theme_key>"}`), run
   the sorter.
4. Report per-collection move counts plus the unsorted leftovers with reasons.
   Repeat these steps for each batch.

## Output Contract
After each batch: counts moved into each collection + list of reels left
unsorted (with reason, e.g. no description).

## Operating Rules
1. Two pages per batch: keeps reviews human-sized. Continue to the next batch
   only when asked, or during a full scheduled run.
2. Never move a reel with no usable description and no inferable content;
   unsortable reels stay in Saved.
3. Write actions only move posts between collections: nothing is deleted,
   unpublished, or unsaved globally. Say that plainly to the user before the
   first sort.
4. The cursor file is the source of truth for progress; if it looks stale,
   re-sync with `advance` rather than guessing pages.
5. Confirm the first batch's moves with the user before running unattended.
   After that, a recurring run (e.g. weekly) can process everything saved
   since the last batch until caught up.
6. Dining dossiers are opt-in: after a batch, offer one for any reel filed
   into a food/dining collection that's about a specific restaurant, or run
   one on demand. Never auto-run them for every food reel.

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