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content-performance

Analyze content performance across YouTube, TikTok, Instagram, and Twitter to identify what works.

Skill by sandbaseai

IndexedApache-2.0★ 201
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sandbaseai-content-performance

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About

Analyze content performance across YouTube, TikTok, Instagram, and Twitter to identify what works. Compares engagement rates, format effectiveness, posting cadence impact, and audience response patterns across platforms for content strategy optimization.

Use cases: writing, research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/content-performance

What's inside

Skill name
content-performance
Description
Analyze content performance across YouTube, TikTok, Instagram, and Twitter to identify what works. Compares engagement rates, format effectiveness, posting cadence impact, and audience response patterns across platforms for content strategy optimization.
License
Apache-2.0
Instructions
34 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • sandbase-api-map.md · references/

SKILL.md (first lines)

# Content Performance

Analyze content performance across YouTube, TikTok, Instagram, and Twitter to identify what works. Compares engagement rates, format effectiveness, posting cadence impact, and audience response patterns across platforms for content strategy optimization. Read [the API map](references/sandbase-api-map.md) before selecting a capability.

## Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with `sandbase_discover(q: "<provider and capability>")`; use its returned `name` in `sandbase_inspect(name: "<returned name>")`. Read `inputSchema`, pricing, and `execute_as`, then call `sandbase_run` using `execute_as.arguments.name` and schema-defined `arguments`. If a `run_id` is returned, poll `sandbase_run_get(run_id: "<returned run_id>")` within the task budget until `completed` or `failed`; report pending or failed runs without resubmitting them automatically.

## Capability identifiers

- `youtube_web_v2_video_info`
- `youtube_web_v2_video_comments`
- `tiktok_app_v3_one_video`
- `instagram_v3_post_info`
- `instagram_v3_post_comments`
- `twitter_web_tweet_detail`

## Workflow

1. Understand the user's research question, target, and context.
2. Resolve each selected capability with `sandbase_discover`, then inspect the returned `name` with `sandbase_inspect` to confirm the schema and pricing.
3. Follow `execute_as` with `sandbase_run`; collect async results with `sandbase_run_get` as described above.
4. Synthesize findings into a clear, evidence-backed answer.
5. Cite sources, note evidence gaps, and separate observations from interpretations.

## Guidelines

- Always call `sandbase_inspect` before using any capability.
- Cite sources and preserve attribution (URLs, usernames, dates, metrics).
- Separate factual observations from analysis and recommendations.
- If data is unavailable, note the gap and continue with available evidence.
- Read-only research only. Never take actions on platforms.

From sandbaseai/sandbase-skills, Apache-2.0.

More from sandbaseai/sandbase-skills

Signals

Stars
201
Forks
21
Open issues
1
Last commit (this folder)
Sep 8, 2026 (1 month ago)
Last release
Aug 20, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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content-performance skill. Agent Mart. https://agentmart.dev/skills/sandbaseai-content-performance (last updated 2026-10-24)