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Creator Strategy Labv1.0.0

Analyze supplied content records with comparable observation windows, then create source-linked content pillars, an account voice guide and an editorial calendar. Includes interactive reports, editable CSV/JSON, Markdown and optional all-day ICS. Original Skillrove workflow.

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Made with this SkillAn evidence-linked editorial strategy

Actual product references · four pillars · 28-day proposed calendar

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What you get

An evidence-linked editorial strategy

What you can make

  • Compare mature posts within matching platform, format and observation windows.
  • Create source-linked content pillars, an account voice guide and calendar proposals.
  • Export editable CSV/JSON, Markdown and an optional all-day calendar handoff.
Explore delivered files8 groups
  • sample-analysis/analysis.json + signals.csv
  • index.html
  • strategy.json
  • analysis.json
  • strategy.md
  • calendar.csv
  • calendar.ics
  • delivery-manifest.json

Good fit

Creators and operators planning the next editorial cycle from permitted content records.

Content creatorMarketer

Know the limits

Missing counts remain unknown; the package does not fetch private analytics or publish posts.

About this skill

Capabilities: import 4–200 owned or permitted content records, keeping original prose, raw CSV hashes and physical source lines. Separate reference/draft content from measured posts, preserve missing counts and compare only mature platform/format/fixed-window peers with per-metric coverage. Author 2–6 content pillars, an account voice guide and 1–60 calendar proposals over a 7–60-day window, linked to exact reviewed analysis bytes.

Deliverables: analysis report/JSON and signals CSV; strategy report with calendar, pillars, voice and source-library views; editable strategy.json, exact reviewed analysis.json, complete Markdown handoff, calendar CSV, tentative all-day ICS and delivery hashes.

Read the full workflow

Requirements and run: Python 3.10+ standard library and an IANA time-zone database. First analyze examples/profile.json + examples/posts.csv, then build examples/strategy.json against the generated analysis.json. Both commands are shown in SKILL.md and the first-run panel. No API key or scraping provider is required.

Validation: eight actual Skillrove product references produced four proposed pillars and a 28-day, twelve-entry calendar, with every social metric unknown. Independent measured/sparse fictional records tested peer arithmetic, exact source prose/lines, invalid dates/references/hash drift, complete Markdown/ICS handoffs and interactive source review.

Limits: source counting semantics require review. Descriptive medians and event-per-view ratios are not causality or unique-person conversion. Editorial proposals do not predict growth; ICS creates optional planning events only. The tool does not scrape accounts, choose a proven best posting time or schedule social posts.

Version 1.0.0: original MIT-licensed implementation with method attribution. Individual purchase and eligible active membership unlock the package.

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Creator strategy

FROM PACKAGE TO FIRST RESULT

Your first editorial strategy.

Analyze the fictional owned-content library and build its four-week plan. The public result uses eight actual Skillrove product references with no invented social-performance counts.

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US$4.99 · MIT licensePython 3.10+ · offlineNo API key or paid provider
  1. 01

    Choose your agent

    These steps use a project folder. Open the project in your agent and run terminal commands from its root.

    Codex directory guide

    Package folder .agents/skills/creator-strategy-lab

  2. 02

    Add the package

    Download and unzip the package into the folder above. Keep all its files together, with SKILL.md directly inside that folder.

    Downloads require a verified account and purchase access. Choose a new folder if this Skill is already installed.

  3. 03

    Run the included sample

    Manual sample commands and technical details

    Read SKILL.md, review the generator and check its runtime requirements before running:

    cd .agents/skills/creator-strategy-lab
python3 scripts/analyze-library.py --input examples/profile.json --posts examples/posts.csv --output ./sample-analysis
python3 scripts/build-calendar.py --input examples/strategy.json --analysis sample-analysis/analysis.json --output ./sample-strategy
    Your first result

    Inspect peer groups in sample-analysis, then review the calendar, content pillars, voice guide and source library in sample-strategy. Compare the exact analysis hash, Markdown handoff and optional ICS dates. Edit strategy.json and generate into a fresh folder.

    Python 3.10+ standard library and IANA time-zone data. The builder preserves missing measurements and authored proposals; it does not prove growth or schedule posts. Optional ICS imports tentative all-day planning events.

    If sample-strategy already exists, change the output to ./sample-strategy-2. Existing files are never overwritten.

    Prefer to ask your agent?

    Use Creator Strategy Lab at .agents/skills/creator-strategy-lab. Read SKILL.md and review scripts/build-calendar.py. Run examples/strategy.json into a new output folder and show me all generated files. Keep fictional sample content clearly labeled.

Ready to use your own facts?

Copy examples/strategy.json to a new input file, replace all fictional facts, and generate into a new folder. Review the content before using or publishing it; the generator does not independently verify claims.

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Before you choose this Skill

How do I get Creator Strategy Lab?

The listed individual package price is USD 4.99. Premium downloads require a confirmed purchase or active membership. Your agent subscription, model access and external provider credits are separate.

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Which agents can use this skill?

This release lists Codex, Claude Code, Cursor as intended installation hosts. Check the package’s dependencies and permissions before running it. These labels do not certify that every workflow has been tested in every agent.

Codex setupClaude Code setupCursor setup
What files can this workflow generate?

The documented 1.0.0 workflow lists: sample-analysis/analysis.json + signals.csv; index.html; strategy.json; analysis.json; strategy.md; calendar.csv; calendar.ics; delivery-manifest.json. Some files or exports are optional; follow the package’s setup and inspect the delivered result.

Review all deliverablesInspect the working example
What should I check before using the result?

Python 3.10+ standard library and IANA time-zone data. The builder preserves missing measurements and authored proposals; it does not prove growth or schedule posts. Optional ICS imports tentative all-day planning events.

Read the installation guideReview third-party notices

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