Instagram Marketing

Instagram Marketing Skills

A bundle of 9 focused skills for Instagram content ops in 2026. Each skill is single-purpose, follows the draft then approval then publish pattern, and uses the Publora API for the media-required publish flow.

When to use this bundle

• Writing a caption (hook in the first 125 chars, body, CTA) -> use ig-caption-writer
• Planning a carousel slide by slide (hook slide to payoff slide) -> use ig-carousel-planner
• Reverse-engineering the hook from a viral Reel or carousel -> use ig-hook-extractor
• Sizing hashtags (the 3-5 niche/mid/broad reality, not 30) -> use ig-hashtag-strategist
• Removing AI tells from a caption, or auditing it before posting -> use ig-humanizer (rewrite plus --mode audit, which folds in the post-audit sub-tool)
• Planning a week of Reels, carousels, and stories -> use ig-content-planner
• Adapting cross-platform content (a LinkedIn post, blog, YouTube script, or X thread) into a native Instagram carousel or caption -> use ig-repurposer
• Auditing and rewriting the profile (photo, NAME field, bio, link, highlights, first-9 grid, pinned posts) -> use ig-profile-optimizer
• Reading your niche and profile stats from real data (scan a hashtag for what is working, pull follower/post stats for you or a competitor) -> use ig-audience-insights

Core pattern

Every action-taking skill follows three steps:

1. Parse the input. If the user gives an Instagram URL, the skill uses

lib/url_parser.py to extract the username and shortcode.

1. Draft the content. The skill applies 2026 research (Instagram hook

formulas, hashtag sizing, timing, voice rules, ranking heuristics) and shows the draft to the user.

1. Wait for approval, then publish with media. Instagram needs an image or

video on every post. The user supplies the media; on approval the skill runs the Publora draft then upload then schedule flow.

Media is required (read this first)

Instagram rejects text-only posts. The writer skills produce the caption, hook, hashtags, and slide or shot plan. The USER supplies the image or video file. The publish path is always:

1. create a draft (no scheduledTime)  -> postGroupId
2. upload each media file to S3        (2-10 files for a carousel, in order)
3. update the post: status=scheduled + scheduledTime

lib/publora_client.publish_media_post(...) wraps all three steps. See references/media-workflow.md for the full flow and limits.

Prerequisites

Three tiers - pick one.

Tier 0 - Draft only (default, no setup)

The skills work out of the box. No API keys, no signup. Every approved caption is returned as a copy-paste block with a reminder to attach your media in the Instagram app. Great for trying the skills before committing to any backend.

Tier 1 - Publora auto-post (recommended, ~2 min)

On approval, point the skill at your local media files and it uploads them and schedules the post via the Publora API.

1. Sign up free: https://app.publora.com/signup
2. Connect your Instagram Business or Creator account (Channels then Add Channel)
3. Copy your API key from Publora's API panel
4. Drop into .env:

`` PUBLORA_API_KEY=sk_... INSTAGRAM_PLATFORM_ID=instagram-... ``

1. Run pip install -r requirements.txt

Why Publora: posting media to Instagram means creating a draft, getting a pre-signed S3 URL, uploading each file, and only then scheduling, in that exact order. Publora does that chain in one call (publish_media_post), so we did not have to reimplement it.

Tier 2 - Build your own poster (advanced)

Prefer not to SaaS it? Ask Claude Code or Codex to build a custom poster on the Instagram Graph API. Set INSTAGRAM_SKILLS_CUSTOM_POSTER= and the skills invoke it on approval. Publora is the 2-minute path.

Account note

Instagram's publishing API needs a Business or Creator account. Personal accounts are not supported.

Voice rules (baked into every skill)

1. No em dashes (—), en dashes, or double dashes. Biggest AI tell.
2. Use .. or a line break as a soft pause when rhythm calls for it.
3. Capitalize all personal, company, and product names.
4. Sentence starts can be lowercase (native caption voice); names stay capitalized.
5. Avoid AI vocabulary: leverage, fundamentally, streamline, harness,

delve, unlock, elevate, foster.

1. Specific numbers beat adjectives. "47 minutes" beats "fast".
2. One idea per caption. The first 125 chars carry the hook (the "more" fold).
3. Hashtags are sizing, not volume: 3-5 sized tags, not 30.

(Canonical reference: references/voice-rules.md. See also references/hook-formulas.md, references/algorithm-heuristics.md, references/hashtag-strategy.md, and references/media-workflow.md.)

How Instagram URLs map

| URL shape | Parsed to | |---|---| | https://www.instagram.com/p/SHORTCODE/ | shortcode, type post | | https://www.instagram.com/reel/SHORTCODE/ | shortcode, type reel | | https://www.instagram.com/USERNAME/ | username, type profile | | https://www.instagram.com/stories/USER/ID/ | username + id, type story |

lib.url_parser.parse_instagram_url(url) returns {username, shortcode, url_type, canonical_url}. A carousel shares the /p/ path with a single image; the carousel is detected from the media, not the URL.

Known gotchas

• Media is mandatory. No image or video means no post. The skill returns the

caption and reminds you to attach media.

• No mixed media in a carousel. All images or all video, never both.
• First 125 chars only. Everything after that is behind the "more" fold.
• Carousel is 2-10 items via the API (the native app allows 20).
• WebP auto-converts to JPEG at publish time.
• Business or Creator account required. Personal accounts cannot use the API.

Resources

• Publora API docs - endpoint reference for the publishing layer
• lib/publora_client.py - Python client with the full media flow
• lib/url_parser.py - Instagram URL to username/shortcode parser

Acknowledgments

Publishing powered by the Publora REST API.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: sergebulaev
• Source: sergebulaev/instagram-skills
• License: MIT

Install and usage instructions live in the source repository linked above.