nova: Skill for Claude Code

.claude/skills/social-media-manager/SKILL.md

social-media-manager is a skill for Claude Code from djbelieny/nova. It costs 72 tokens per session (2,372 once invoked), scanned A, original, MIT.

A tool for managing social-media work across Instagram, Facebook, X, LinkedIn, and TikTok. It helps create content, schedule posts, publish across platforms, engage with audiences, and review performance.

In plain words
What is it for?
Use it to write posts and captions, plan content calendars, schedule publishing, repurpose content, research hashtags, analyze results, and handle community engagement.
Why use it?
It organizes content planning and publishing across several social networks. It also helps adapt one piece of content for different platforms and track engagement.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is djbelieny/nova's own configuration. It tells Claude Code how to work on nova itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nova configures →

Reuse

Borrowing it

Nothing to install: this file belongs to djbelieny/nova. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/djbelieny/nova/main/.claude/skills/social-media-manager/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/djbelieny/nova

Made for: Claude Code.

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README.md
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Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,372 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 $0.00072 $0.02372
Opus 5 $0.00036 $0.01186
Sonnet 5 $0.00014 $0.00474
Haiku 4.5 $0.00007 $0.00237

Measured 7d ago against content hash 7a2993d2cf41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

social-media-manager 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 7d 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.

.claude/skills/social-media-manager/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Media Manager

This skill handles end-to-end social media management — from content strategy and creation to scheduling, publishing, and performance analysis across all major platforms.

When to Use This Skill

  • Creating social media posts (captions, hashtags, hooks)
  • Planning content calendars (weekly, monthly)
  • Scheduling posts across platforms
  • Repurposing content across platforms (blog → social, video → clips, etc.)
  • Analyzing engagement metrics and performance
  • Building community engagement strategies
  • Creating platform-specific content (Reels, Stories, Threads, Carousels)
  • Hashtag research and optimization
  • Trend identification and newsjacking
  • Social media audits

Platform Playbooks

Instagram

Content Types (by priority):

  1. Reels (highest reach) — 15-90 seconds, hook in first 3 seconds
  2. Carousels (highest saves) — 5-10 slides, educational or storytelling
  3. Stories (engagement) — polls, questions, behind-the-scenes
  4. Static posts (brand building) — quotes, announcements, testimonials

Caption Framework:

[Hook — first line that stops the scroll]

[Value — the meat of your message, 2-4 short paragraphs]

[CTA — tell them what to do: save, share, comment, click link]

.
.
.
[Hashtags — 5-15 relevant, mix of sizes]

Best Practices:

  • Post Reels 4-7x/week for maximum growth
  • Use trending audio (check Reels tab for popular sounds)
  • Carousel first slide = bold statement or question
  • Reply to every comment within the first hour
  • Use Stories daily to stay top of feed

Optimal Post Times: 7-9 AM, 12-2 PM, 7-9 PM (audience timezone)

Facebook

Content Types:

  1. Video/Reels (highest organic reach)
  2. Photo posts with storytelling captions
  3. Link posts (drive traffic)
  4. Live video (highest real-time engagement)

Best Practices:

  • Native video outperforms YouTube links 10:1
  • Facebook Groups drive more engagement than Pages
  • Ask questions to trigger comments (algorithm boost)
  • Longer captions (1-3 paragraphs) perform well

Read the full file on GitHub · 280 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. 7d ago First seen · 280 lines · 72 tokens per session scan A 7a2993d2cf41

Subscribe to this mod's changes

social-media-manager is a skill published in the GitHub repository djbelieny/nova (5 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 2,372 once invoked, about $0.0004 per session on Opus 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 2026-09-03.

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