ig-strategy
Skill17 starsChanged 8 months agoMITView on GitHub
Content strategy and positioning analysis for Instagram. Pulls live API data, maps audience segments, reviews content pillar distribution, identifies gaps, and delivers a 30/60/90-day growth strategy.
1 other project uses a version of this, 1 of them edited.
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- workflownicojunk/claude-skillsedited, first seen Oct 20, 2026
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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.
In this repository13 other files it gives its agents.
- ig-affiliateSkill
- ig-analyzeSkill
- ig-auditSkill
- ig-calendarSkill
- ig-captionSkill
- ig-carouselSkill
- ig-commentSkill
- ig-competitorSkill
- ig-hookSkill
- ig-reelSkill
- ig-repurposeSkill
- igSkill
- ig-storySkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 46
RULE: All strategic recommendations must be grounded in actual data.
≈ “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.
Files
IG Strategy -- Content strategy and positioning analysis
Key references:
references/account-baseline.md-- current metrics, content mix, audience datareferences/competitor-framework.md-- competitor landscape, positioning mapreferences/content-rules.md-- brand voice, content pillars, banned topics
Phase 1: Account Analysis
Pull live data to establish the current state:
- Account info:
get_user_infofor follower count, bio, media count. - Recent media:
get_user_mediafor last 30-50 posts. - Post insights:
get_post_insightsfor reach, saves, shares per post. - Account insights:
get_user_insightsfor 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] |
For each segment, note:
- Which current content serves them well
- What content is missing for them
- Their likely position in the customer journey (awareness, consideration, decision)
Phase 3: Content Pillar Review
Compare current content distribution against ideal targets:
Current Distribution (from Phase 1 data)
Count posts per pillar from the last 30 posts and calculate percentages.
Ideal Distribution
| Pillar | Target % | Current % | Delta | Action |
| Educational | 40% | ?% | ?% | Increase/Decrease/Maintain |
| Personal | 25% | ?% | ?% | Increase/Decrease/Maintain |
| Community | 20% | ?% | ?% | Increase/Decrease/Maintain |
| Promotional | 15% | ?% | ?% | Increase/Decrease/Maintain |
Pillar Depth Analysis
For each pillar, assess:
- Topic variety within the pillar (are we repeating the same 3 topics?)
- Format variety within the pillar (is educational always carousels?)
- Performance consistency (is one pillar reliably strong or volatile?)
Phase 4: Gap Identification
Identify underrepresented areas across three dimensions:
Topic Gaps
- Topics relevant to the niche that have never been covered
- Topics covered once but never revisited despite good performance
- Trending topics in the fitness/nutrition space not yet addressed
Format Gaps
- Formats not being used (e.g., no carousels, no collaborative posts)
- Formats underperforming due to execution, not audience disinterest
- New Instagram features not yet adopted (e.g., Threads cross-posting, Remix)
Hook Category Gaps
- Hook patterns from hook-library.md not yet tested
- Over-reliance on one hook category
- Emerging hook trends not yet adopted
Positioning Gap
- What does the account stand for? Is it clear from the last 30 posts?
- Could a new follower understand the value proposition within 9 grid posts?
- Is there a unique angle that differentiates from competitors?
Phase 5: Growth Strategy
Build a phased 30/60/90-day growth strategy:
Days 1-30: Foundation
Focus on quick wins and fixing critical gaps.
- 3-5 specific actions with expected metric impact
- Each action must address a finding from Phases 2-4
- Include: content mix adjustments, hook experiments, posting schedule optimization
- Measurable targets for each action
Days 31-60: Expansion
Build on foundation wins and test new approaches.
- 3-5 strategic initiatives (e.g., series content, collaborations, new pillar)
- Each initiative tied to an audience segment from Phase 2
- Include: format experiments, audience growth tactics, engagement boosters
- Measurable targets for each initiative
Days 61-90: Optimization
Refine based on 60 days of data and scale what works.
- 2-3 scaling decisions (double down on winners, cut losers)
- Long-term positioning adjustments
- Community building and loyalty strategies
- Revenue/conversion optimization (if applicable)
Phase 6: Quality Check
Validate the strategy:
- Every recommendation traces back to a specific data point
- Audience segments are based on actual engagement patterns
- Content pillar targets are realistic given current resources
- Growth targets are ambitious but achievable (not 10x in 30 days)
- Strategy accounts for the account's niche and audience language
- No generic advice (every point is specific to this account)
- Competitor context is included where relevant
Phase 7: Delivery
Output as a structured strategy document:
## Instagram Content Strategy
**Account:** [handle]
**Current Followers:** [count]
**Analysis Period:** [date range]
**Posts Analyzed:** [count]
### Current State Summary
- Engagement Rate: X% (baseline: Y%)
- Best Format: [format] at X% engagement
- Strongest Pillar: [pillar] at X% engagement
- Posting Frequency: X/week
### Audience Profile
[Segment table from Phase 2]
### Content Pillar Rebalancing
[Distribution table from Phase 3]
### Key Gaps Identified
1. [gap with impact assessment]
2. [gap with impact assessment]
3. [gap with impact assessment]
### 30-Day Plan
| Action | Expected Impact | Metric Target | Priority |
|--------|----------------|---------------|----------|
### 60-Day Plan
| Initiative | Expected Impact | Metric Target | Priority |
|------------|----------------|---------------|----------|
### 90-Day Plan
| Strategy | Expected Impact | Metric Target | Priority |
|----------|----------------|---------------|----------|
### Key Metrics to Track
| Metric | Current | 30-Day Target | 90-Day Target |
|--------|---------|---------------|---------------|Does it work?
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