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ig-strategy

ig-strategy is a skill for Claude Code from nicojunk/claude-ig. It costs 43 tokens per session (1,625 once invoked), scanned A, original, MIT.

An Instagram strategy skill that examines an account, its audience, recent posts, and competitors using live account data.

In plain words
What is it for?
Use it to measure engagement, review content pillars, compare performance with historical baselines, study competitors, and create a 30-, 60-, or 90-day strategy.
Why use it?
It replaces guesses about what to publish with recommendations based on actual performance, audience information, and gaps in the current content mix.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 23repo +2 2mo ago A scan 43 tokens original MIT

Good fit Use it to measure engagement, review content pillars, compare performance with historical baselines, study competitors, and create a 30-, 60-, or 90-day strategy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nicojunk/claude-ig/ig-strategy
View source ↗ nicojunk/claude-ig
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nicojunk/claude-ig --skill ig-strategy
Clone the repo
git clone --depth 1 https://github.com/nicojunk/claude-ig

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ig-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicojunk/claude-ig/ig-strategy/github.svg)](https://agentmods.dev/skills/nicojunk/claude-ig/ig-strategy)
Your own site
<a href="https://agentmods.dev/skills/nicojunk/claude-ig/ig-strategy"><img src="https://agentmods.dev/badge/skills/nicojunk/claude-ig/ig-strategy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ig-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/nicojunk/claude-ig/ig-strategy"><img src="https://agentmods.dev/badge/skills/nicojunk/claude-ig/ig-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,625 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01625
Opus 5.5 $0.00017 $0.00650
Sonnet 5.5 $0.00009 $0.00325
Haiku 4.5 $0.00004 $0.00162

Measured 2mo ago against content hash dcf84e85b0cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ig-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ig-strategy/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IG Strategy -- Content strategy and positioning analysis

Key references:

  • references/account-baseline.md -- current metrics, content mix, audience data
  • references/competitor-framework.md -- competitor landscape, positioning map
  • references/content-rules.md -- brand voice, content pillars, banned topics

Phase 1: Account Analysis

Pull live data to establish the current state:

  1. Account info: get_user_info for follower count, bio, media count.
  2. Recent media: get_user_media for last 30-50 posts.
  3. Post insights: get_post_insights for reach, saves, shares per post.
  4. Account insights: get_user_insights for follower demographics, reach trends, activity times.

Calculate from the data:

  • Average engagement rate (overall and by format)
  • Save rate trend (increasing, stable, declining)
  • Reach-to-follower ratio trend
  • Content type distribution (actual vs baseline targets)
  • Posting frequency and consistency score

Load references/account-baseline.md for comparison with historical data.

RULE: All strategic recommendations must be grounded in actual data. Never make recommendations based on assumptions about performance.

Phase 2: Audience Mapping

Build an audience profile from available data and niche knowledge:

Demographics (from API insights if available)

  • Age distribution
  • Gender split
  • Top locations (cities/countries)
  • Active hours and days

Psychographics (from content performance patterns)

  • What topics get the highest save rate? (indicates what the audience values)
  • What topics get the highest share rate? (indicates what they identify with)
  • What gets the most comments? (indicates what they have opinions on)
  • What gets ignored? (indicates misalignment)

Audience Segments

Define 2-4 audience segments based on the data:

Segment Description Content Preference Engagement Style
[Name] [who they are] [what they want] [how they interact]

Read the full file on GitHub · 203 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 203 lines · 43 tokens per session scan A dcf84e85b0cb

Subscribe to this mod's changes

ig-strategy is a skill published in the GitHub repository nicojunk/claude-ig (23 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,625 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metricsMarketing and SEO
Related

ig-strategy compared with skills from other repositories

ig-strategy next to 6 skills from other repositories
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