Afa Social
afadtc/afa-dtc-skills
DTC 社交内容与 UGC——内容日历、平台策略、UGC 管理、社区、Reddit。触发词: 社交媒体, social media, Instagram, 内容日历, UGC, 社区, Reels, 短视频, 内容策略, content calendar, instagram content, short video, community。复杂问题先经 afa。
Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase.
Install Instagram Research
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sandbaseai/sandbase-skills instagram-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/instagram-research .claude/skills/instagram-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .claude/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sandbaseai/sandbase-skills instagram-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/instagram-research .agents/skills/instagram-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .agents/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sandbaseai/sandbase-skills instagram-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/instagram-research .cursor/skills/instagram-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .cursor/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sandbaseai/sandbase-skills.git --path research/instagram-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sandbaseai/sandbase-skills instagram-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/instagram-research .gemini/skills/instagram-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .gemini/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sandbaseai/sandbase-skills instagram-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/instagram-research .github/skills/instagram-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .github/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill instagram-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sandbaseai/sandbase-skills instagram-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/instagram-research .opencode/skills/instagram-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "instagram-research" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/instagram-research into .opencode/skills/instagram-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "instagram-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
instagram-research- GitHub stars
- 202
- Token cost
- ~755 tokens
- SKILL.md length
- 320 words
- Files
- 2 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase.
- Works in 4 steps: Search and discover → Analyze profiles → Analyze content → …
- Asked for Instagram research
- SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Instagram Research is an agent skill from sandbaseai/sandbase-skills. Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase. Use when asked for Instagram research, influencer analysis, hashtag tracking, content strategy research, or competitor social monitoring.
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).
It sits in Writing & Content, covering Content strategy and Influencer and creator marketing. It works with Instagram. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.
When your agent uses it
- Asked for Instagram research
- Influencer analysis
- Hashtag tracking
- Content strategy research
Example prompts
- “/instagram-research”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Instagram Research loads about 755 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 320 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 320 words, ~755 tokens.
Download SKILL.mdSave it as
.claude/skills/instagram-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- instagram-research
- description
- Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase. Use when asked for Instagram research, influencer analysis, hashtag tracking, content strategy research, or competitor social monitoring.
Instagram Research
Instagram content and creator research through SandBase. Search posts, analyze profiles, track hashtag trends, and gather competitive intelligence. Read the API map 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.
Operating principles
- Use Instagram data for market research and competitive intelligence only.
- Preserve attribution: include post URLs, usernames, engagement metrics, dates.
- Respect user privacy — focus on public accounts and public content.
- Never attempt to follow, like, comment, or message on behalf of the user.
Workflow
1. Search and discover
Use instagram_v3_general_search to find accounts, hashtags, and places.
Use instagram_v3_hashtag_posts to track content around specific hashtags.
Use instagram_v3_explore to discover trending content.
2. Analyze profiles
Use instagram_v3_user_profile for account details (bio, followers, post count).
Use instagram_v3_user_posts for recent content and engagement patterns.
Use instagram_v3_user_reels for Reels strategy analysis.
Use instagram_v3_user_highlights for curated content themes.
3. Analyze content
Use instagram_v3_post_info for detailed post metrics (likes, comments, caption).
Use instagram_v3_post_comments for audience sentiment and engagement quality.
Use instagram_v3_post_likes to see who engages with content.
4. Location and music research
Use instagram_v3_location_posts for location-based content discovery.
Use instagram_v3_music_posts to find content using specific audio.
Output
Return: search results, profile analysis (followers, engagement rate, content themes), hashtag performance, content patterns, and competitive positioning.
Example tasks
- "Analyze @competitor's Instagram — posting frequency, engagement rate, content themes."
- "Find top posts for #[hashtag] in the last week."
- "Who are the top Instagram influencers in [niche] with 50K-500K followers?"
- "What content format performs best for [brand] on Instagram?"
- "Track how [campaign hashtag] is performing in terms of post volume and engagement."
© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in research/instagram-research of sandbaseai/sandbase-skills.
- SKILL.md
- references/sandbase-api-map.md
Open the folder on GitHubat commit cbab581
Compare with similar skills
Instagram Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Instagram Research this skillsandbaseai/sandbase-skills | 202 | — | ~755 | Automated safety check: Pass | Apache-2.0 | |
| Afa Socialafadtc/afa-dtc-skills | 168 | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Social Media Managerrevfactory/harness-100 | 1.3k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Higgsfield Content FactoryDaanKieft/ai-influencer | 116 | — | ~15k | Automated safety check: Pass | None | |
| Ecommerce Content MarketingLeoYeAI/openclaw-master-skills | 2.2k | 1 repos | ~5.3k | Automated safety check: Pass | MIT | |
| Schedule Socialindranilbanerjee/digital-marketing-pro | 859 | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
Similar skills
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revfactory/harness-100
A full production pipeline where an agent team collaborates to generate SNS content strategy, post copy, visual plans, and hashtag strategies all at once.
Higgsfield Content Factory
DaanKieft/ai-influencer
A 5-stage AI content pipeline using Higgsfield MCP, focused on viral UGC content split evenly across 5 formats: UGC Entertainment (challenges), Street Interview, Unboxing, Product Review, ASMR.
Ecommerce Content Marketing
LeoYeAI/openclaw-master-skills
E-commerce content marketing strategy planner. An agent skill from LeoYeAI/openclaw-master-skills.
Schedule Social
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Schedule social posts to Twitter/X, Instagram, LinkedIn, TikTok, YouTube, and Pinterest through connected platform MCPs — generating per-platform copy variations, hashtag mixes, media-spec…
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Build a platform-specific social media strategy: 3-5 content pillars, posting cadence, content-mix ratios, an engagement playbook with response templates, growth tactics, KPI targets, and a 30-day…
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Related
Works with
Categories
Questions about Instagram Research
What does Instagram Research do?
Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase. Instagram Research is an agent skill from sandbaseai/sandbase-skills. Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase.
When should I use Instagram Research?
Instagram Research fits situations like: asked for Instagram research; influencer analysis; hashtag tracking; content strategy research.
How do I install Instagram Research in Claude Code?
Run `npx skills add sandbaseai/sandbase-skills --skill instagram-research -a claude-code`. Or copy the skill folder (research/instagram-research in sandbaseai/sandbase-skills) into .claude/skills/instagram-research in your project. Claude Code loads it when a task matches its description.
How do I install Instagram Research in Codex?
Run `npx skills add sandbaseai/sandbase-skills --skill instagram-research -a codex`. Or copy the skill folder (research/instagram-research in sandbaseai/sandbase-skills) into .agents/skills/instagram-research in your project. Codex loads it when a task matches its description.
Can I use Instagram Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill instagram-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/instagram-research, .gemini/skills/instagram-research, .github/skills/instagram-research and .opencode/skills/instagram-research in your project.
What does Instagram Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Instagram Research is instructions for the agent only.
Does Instagram Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Instagram Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Instagram Research use?
Instagram Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Instagram Research use?
About 755 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 444 tokens, read only when the agent opens those files.
What are the alternatives to Instagram Research?
Skills that share tags, products or a category with Instagram Research: Afa Social (afadtc/afa-dtc-skills, 168 stars), Social Media Manager (revfactory/harness-100, 1.3k stars), Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars) and Ecommerce Content Marketing (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Instagram Research?
sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 26, 2026.
Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.