Agent skill

Comment Funnel

by LeoYeAI in LeoYeAI/openclaw-master-skills

Automate Instagram comment-to-DM funnels using the Upload-Post API.

MITAuto-check passedProductivity & Automation

Install Comment Funnel

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/instagram-auto-reply-comments .claude/skills/comment-funnel && rm -rf skills-src

Use ~/.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/

Facts

Skill name
comment-funnel
GitHub stars
2.2k
Token cost
~4.1k tokens
SKILL.md length
1,833 words
Files
4 (incl. references)
Skills in repo
972
Repo updated
First seen
Licence
MIT

At a glance

Automate Instagram comment-to-DM funnels using the Upload-Post API.

  • Works in 7 steps: Get Recent Posts → Read Comments → Send Private Reply (the DM) → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers Documentation, Authentication, How the Funnel Works and Endpoints, plus 6 more sections
  • Calls curl; reaches api.upload-post.com and instagram.com

What it does

Comment Funnel is an agent skill from LeoYeAI/openclaw-master-skills. Automate Instagram comment-to-DM funnels using the Upload-Post API. Auto-reply to Instagram comments with private DMs, build lead capture funnels, and set up keyword-triggered DM automation (ManyChat alternative). Send automated direct messages to commenters on Instagram Reels and posts. Features 24/7 comment monitoring, smart AI semantic filtering, and scalable Instagram DM outreach campaigns via the official Meta Private Replies API. Perfect for comment automation, auto DMs, and lead magnets.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `_meta.json` and `references/compliance.md`).

It sits in Productivity & Automation, covering Messaging and chat bots, Content marketing and Lead generation. It works with Instagram. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Messaging and chat bots
  • Tasks that involve Content marketing
  • Tasks that involve Lead generation

Example prompts

  • “/comment-funnel”

Requirements

  • A credential in YOUR_API_KEY
  • A credential in YOUR_KEY

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Get Recent Posts
  2. Read Comments
  3. Send Private Reply (the DM)
  4. List DM Conversations
  5. Send Follow-Up DM
  6. Gather Requirements
  7. Find the Post

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.upload-post.com
    • instagram.com

    Also links to:

    • docs.upload-post.com

    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

Comment Funnel loads about 4.1k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,833 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~129
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,833 words, ~4,057 tokens.

Download SKILL.mdSave it as .claude/skills/comment-funnel/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
comment-funnel
description
Automate Instagram comment-to-DM funnels using the Upload-Post API. Auto-reply to Instagram comments with private DMs, build lead capture funnels, and set up keyword-triggered DM automation (ManyChat alternative). Send automated direct messages to commenters on Instagram Reels and posts. Features 24/7 comment monitoring, smart AI semantic filtering, and scalable Instagram DM outreach campaigns via the official Meta Private Replies API. Perfect for comment automation, auto DMs, and lead magnets.
version
1.0.0
metadata.author
Upload-Post
metadata.last-updated
2026-03-28

Comment-to-DM Funnel — Upload-Post API

Turn Instagram comments into conversations. This skill lets you monitor comments on a post, detect trigger keywords (semantically, not just exact match), and send personalized private DMs to each commenter automatically.

This is the same mechanism ManyChat, Inro, and every major DM automation tool uses — the official Instagram Private Replies API. Fully compliant with Meta's terms.

Documentation

Authentication

All requests require an API key:

Authorization: Apikey YOUR_API_KEY

Base URL: https://api.upload-post.com/api

The user parameter is the profile name (not username) from the Upload-Post dashboard.

How the Funnel Works

The typical flow a creator wants:

  1. They post a Reel saying "Comment GUIDE to get my free PDF"
  2. People comment "GUIDE", "quiero la guía", "send me the guide", etc.
  3. Each commenter receives a personalized DM with the link
  4. If someone replies to the DM, the conversation continues
  5. The creator gets a summary of how many DMs were sent

Your job as an agent is to orchestrate this. There are two modes:

  • One-shot: Scan comments right now and send DMs to everyone who already commented. Good for processing a backlog.
  • Persistent monitor: Start a background monitor that checks for new comments every X minutes and auto-sends DMs 24/7. This is the "set it and forget it" mode — like ManyChat.

Choose based on what the user asks. If they say "set up a funnel" or "activate monitoring", use persistent. If they say "check comments" or "send DMs to whoever commented", use one-shot.

Endpoints

Persistent Monitor Endpoints

These start a background process on Upload-Post's servers that monitors comments and sends DMs automatically. No need for the agent to stay running.

Start Monitor
bash
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/start" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "post_url": "https://www.instagram.com/p/ABC123/",
    "reply_message": "Hey! Here is your guide: https://example.com/guide",
    "profile_username": "PROFILE",
    "monitoring_interval": 15,
    "trigger_keywords": ["guide", "link"]
  }'

Parameters:

  • post_url (required): The Instagram post URL to monitor
  • reply_message (required): The DM message to send to matching commenters
  • profile_username (required): Upload-Post profile name with Instagram connected
  • monitoring_interval (optional): Minutes between checks. Default: 15. Minimum: 15 (values below 15 are auto-clamped)
  • trigger_keywords (optional): Array of keywords to filter comments. Only comments containing at least one keyword receive a DM. Case-insensitive and accent-insensitive ("guía" matches "guia"). If omitted, ALL commenters receive a DM.

Returns a monitor_id you'll need for managing the monitor.

Limits:

  • Maximum 2 new monitors per profile per day
  • No duplicate monitors on the same post URL
  • Monitors auto-stop after 15 days
  • Daily DM limits apply per plan (free: 10 DMs/day, paid: 500 DMs/day). When the limit is reached, the monitor pauses and resumes the next day.

Important: This monitor sends a fixed reply_message — it does not do semantic filtering or personalization. If trigger_keywords is set, it only replies to comments containing those words (case and accent insensitive). If omitted, it replies to ALL commenters. For smart semantic filtering, use one-shot mode instead.

Check Monitor Status
bash
curl "https://api.upload-post.com/api/uploadposts/autodms/status" \
  -H "Authorization: Apikey YOUR_KEY"

Returns all active monitors with their status: running, paused, or stopped.

Get Monitor Logs
bash
curl "https://api.upload-post.com/api/uploadposts/autodms/logs?monitor_id=MONITOR_ID" \
  -H "Authorization: Apikey YOUR_KEY"

Returns activity logs: when the monitor started, how many DMs sent, any errors.

Pause / Resume / Stop / Delete Monitor
bash
# Pause (keeps config, stops checking)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/pause" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"monitor_id": "MONITOR_ID"}'

# Resume a paused monitor
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/resume" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"monitor_id": "MONITOR_ID"}'

# Stop (deactivates)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/stop" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"monitor_id": "MONITOR_ID"}'

# Delete (permanent)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/delete" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"monitor_id": "MONITOR_ID"}'
One-Shot Endpoints

These are for scanning comments on-demand and sending DMs with AI-powered semantic matching and personalization.

1. Get Recent Posts

Find the post to monitor.

bash
curl "https://api.upload-post.com/api/uploadposts/media?platform=instagram&user=PROFILE" \
  -H "Authorization: Apikey YOUR_KEY"

Returns an array of recent posts with id, caption, permalink, timestamp, and media_type. Use the id field as post_id in subsequent calls.

2. Read Comments
bash
curl "https://api.upload-post.com/api/uploadposts/comments?platform=instagram&user=PROFILE&post_id=POST_ID" \
  -H "Authorization: Apikey YOUR_KEY"

You can also use post_url instead of post_id:

bash
curl "https://api.upload-post.com/api/uploadposts/comments?platform=instagram&user=PROFILE&post_url=https://www.instagram.com/p/ABC123/" \
  -H "Authorization: Apikey YOUR_KEY"

Rate limit: Once per 10 minutes per post. Plan your polling accordingly — don't call this in a tight loop.

Each comment includes id, text, username, and timestamp.

3. Send Private Reply (the DM)

This is the core action. It sends a DM to the person who wrote the comment, using Meta's official Private Replies API.

bash
curl -X POST "https://api.upload-post.com/api/uploadposts/comments/reply" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "instagram",
    "user": "PROFILE",
    "comment_id": "COMMENT_ID",
    "message": "Hey! Here is your guide: https://example.com/guide"
  }'

Constraints you must respect:

  • One reply per comment — if you already replied to a comment, the API will reject a second attempt
  • The comment must be less than 7 days old
  • The post must belong to the authenticated account
  • Daily DM limits apply (varies by plan)
4. List DM Conversations

Check for replies to your DMs.

bash
curl "https://api.upload-post.com/api/uploadposts/dms/conversations?platform=instagram&user=PROFILE" \
  -H "Authorization: Apikey YOUR_KEY"

Returns conversation threads with participant_id, messages, and metadata.

5. Send Follow-Up DM

Continue a conversation with someone who replied.

bash
curl -X POST "https://api.upload-post.com/api/uploadposts/dms/send" \
  -H "Authorization: Apikey YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "instagram",
    "user": "PROFILE",
    "recipient_id": "USER_ID",
    "message": "Glad you liked it! Let me know if you have questions."
  }'

24-hour window: You can only send follow-up DMs within 24 hours of the user's last reply. After that, the window closes and you cannot message them until they message you again.

Building the Funnel — Step by Step

When the user asks you to set up a comment funnel, follow these steps:

Step 1: Gather Requirements

Ask the user (if not already provided):

  • API key? (needed for all requests)
  • Profile name? (the user parameter — this is the Upload-Post profile name, not their Instagram username. If they don't know it, call GET /uploadposts/me to validate the key. If they have no profiles or no Instagram connected, direct them to https://app.upload-post.com/manage-users to create a profile and connect their Instagram Business account first)
  • Which post? (URL or they can say "my latest post")
  • What keywords trigger the DM? (e.g., "GUIDE", "INFO", "LINK")
  • What message to send? (the DM content)
  • Persistent or one-shot? (do they want 24/7 monitoring or a one-time scan?)
Step 2: Find the Post

Call GET /uploadposts/media to list recent posts. Match by URL, caption content, or just pick the latest. Confirm with the user which post to monitor.

Path A: Persistent Monitor (24/7)

Use this when the user wants continuous monitoring ("set up a funnel", "activate it", "keep it running").

  1. Call POST /uploadposts/autodms/start with the post URL, reply message, profile, and interval
  2. Save the returned monitor_id and tell the user
  3. Confirm it's running with GET /uploadposts/autodms/status
  4. Tell the user how to check results: "Ask me anytime to check the funnel status or logs"

The backend handles everything from here — checking comments, sending DMs, avoiding duplicates, respecting rate limits. The agent doesn't need to stay running.

To check on it later:

  • GET /uploadposts/autodms/status → is it running?
  • GET /uploadposts/autodms/logs?monitor_id=X → how many DMs sent?

To manage it:

  • POST /uploadposts/autodms/pause → pause without losing config
  • POST /uploadposts/autodms/resume → resume after pause
  • POST /uploadposts/autodms/stop → deactivate
  • POST /uploadposts/autodms/delete → remove permanently

Trade-off: The persistent monitor sends the same fixed message — no personalization per commenter. Use trigger_keywords to filter so only relevant comments get a DM. Without keywords, it replies to every new comment.

Path B: One-Shot with AI (Smart Filtering)

Use this when the user wants intelligent processing ("check my comments", "DM the ones who asked for the guide", or when the post gets mixed comments — some requesting, some just engaging).

Show full SKILL.md (771 more words)Show less
Scan Comments

Call GET /uploadposts/comments with the post ID.

For each comment, decide if it matches the trigger. Use semantic matching, not just exact string comparison:

CommentTrigger: "GUIDE"Match?
"GUIDE"Exact matchYes
"guide please"Contains keywordYes
"I want the guide!"Semantic intentYes
"can you send me the guide?"Semantic intentYes
"guía"TranslationYes
"great post!"No intentNo
"nice guide on the topic"Ambiguous — talking about the content, not requestingNo

The key question: is this person requesting the thing the creator offered? Use judgment, not regex.

Send DMs

For each matching comment that hasn't been replied to yet:

  1. Personalize the message. Don't send identical copy-paste to everyone. Use their name or reference their comment:

    • Generic: "Here's your guide: [link]"
    • Better: "Hey @maria! You asked about the guide — here it is: [link]. Let me know if you have any questions!"
  2. Call POST /uploadposts/comments/reply with the personalized message.

  3. Track which comment IDs you've already replied to (keep a list in your working memory) to avoid duplicate attempts.

Report Results

After processing, tell the user:

  • Total comments scanned
  • How many matched the trigger
  • How many DMs sent successfully
  • Any errors (already replied, window expired, rate limit)
Monitor Replies (Optional)

If the user wants follow-up handling:

  1. Call GET /uploadposts/dms/conversations to check for new replies
  2. For each reply, generate a contextual response using the funnel's purpose
  3. Call POST /uploadposts/dms/send to respond
  4. Only send within the 24-hour messaging window
Combining Both Modes

A smart approach: start a persistent monitor for the baseline (everyone gets the DM), then periodically run one-shot scans to check DM conversations and do personalized follow-ups. Tell the user this option if it fits their use case.

Compliance Rules

These are Meta's rules. Breaking them gets the account restricted, not just rate-limited.

What's allowed (you're doing this):

  • Sending a private reply to someone who commented on YOUR post — this is the exact use case Meta built the Private Replies API for
  • Using the official Instagram Graph API through Upload-Post
  • Personalizing messages per commenter

Hard limits:

  • 200 DMs per hour per Instagram account (Meta enforces this — the API returns 429)
  • 1 private reply per comment (API rejects duplicates)
  • 7-day window on comments (older comments can't receive private replies)
  • 24-hour window on follow-up DMs (resets each time the user replies)

What would get the account banned (never do this):

  • Sending DMs to people who never interacted with the account
  • Ignoring rate limit errors and retrying aggressively
  • Sending identical spam messages to hundreds of people

Error Handling

CodeMeaningWhat to Do
200DM sentTrack as success
400Bad requestCheck parameters — likely missing comment_id or message
401Invalid API keyAsk user to check their key
404Comment not foundComment may have been deleted
429Rate limit / DM limit reachedStop sending. Tell the user how many were sent and that the limit was hit
500Server errorRetry once, then report to user

When you hit a 429, stop the entire batch. Don't keep trying. Report to the user: "Sent X DMs successfully. Hit the rate limit — the remaining Y commenters will need to be processed later."

Example Conversation

User: "In my latest Reel I told people to comment CURSO to get info about my course. Set up the funnel to DM them the enrollment link https://mycourse.com/enroll"

Agent workflow:

  1. GET /uploadposts/media?platform=instagram&user=profilename → find latest Reel
  2. GET /uploadposts/comments?platform=instagram&user=profilename&post_id=12345
  3. Analyze each comment for intent to receive the course info
  4. For each match: POST /uploadposts/comments/reply with personalized DM
  5. Report: "Found 47 comments. 31 matched the trigger. Sent 31 DMs. 2 had already been replied to. Here's the breakdown..."

Platform Limitation

This skill works on Instagram only. The comments and DM endpoints in the Upload-Post API currently support Instagram exclusively. This is because Meta's Private Replies API is Instagram-specific, and other platforms (TikTok, LinkedIn, X, etc.) don't offer equivalent APIs for comment-to-DM automation.

This is not a limitation of Upload-Post — it's how the social platform APIs work. Instagram is where 90%+ of comment-to-DM funnels run commercially (ManyChat, Inro, etc. are all Instagram-first for this reason).

Tips for Better Funnels

  • Short DMs convert better: 1-3 sentences max. Link + brief context. Nobody reads paragraphs in DMs.
  • Personalize: Reference their comment or use their display name. "Hey! Here's what you asked for" beats "Dear valued follower."
  • One clear CTA: Don't overload the DM. One link, one action.
  • Timing matters: The sooner after commenting they get the DM, the higher the open rate. Process comments as soon as the rate limit allows.
  • Track what works: Compare DM response rates across different message styles. Iterate.

© LeoYeAI, MIT. 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 3 other files (references) in skills/instagram-auto-reply-comments of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • _meta.json
  • references/compliance.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Comment Funnel 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.

Comment Funnel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Comment Funnel this skillLeoYeAI/openclaw-master-skills2.2k—~4.1kAutomated safety check: PassMIT
Comment ResponderOotto-AI/claude-content-skills112—~717Automated safety check: PassMIT
Dm Script WriterOotto-AI/claude-content-skills112—~472Automated safety check: PassMIT
100m Leadsgetagentseal/founder-playbook724—~2.3kAutomated safety check: PassMIT
Bright Data MCPbrightdata/skills2641 repos~3.7kAutomated safety check: PassMIT
Business Contact and Social Links Finderbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT

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Works with

Questions about Comment Funnel

What does Comment Funnel do?

Automate Instagram comment-to-DM funnels using the Upload-Post API. Comment Funnel is an agent skill from LeoYeAI/openclaw-master-skills. Automate Instagram comment-to-DM funnels using the Upload-Post API.

When should I use Comment Funnel?

Comment Funnel fits situations like: tasks that involve Messaging and chat bots; tasks that involve Content marketing; tasks that involve Lead generation.

How do I install Comment Funnel in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a claude-code`. Or copy the skill folder (skills/instagram-auto-reply-comments in LeoYeAI/openclaw-master-skills) into .claude/skills/comment-funnel in your project. Claude Code loads it when a task matches its description.

How do I install Comment Funnel in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a codex`. Or copy the skill folder (skills/instagram-auto-reply-comments in LeoYeAI/openclaw-master-skills) into .agents/skills/comment-funnel in your project. Codex loads it when a task matches its description.

Can I use Comment Funnel 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 LeoYeAI/openclaw-master-skills --skill comment-funnel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comment-funnel, .gemini/skills/comment-funnel, .github/skills/comment-funnel and .opencode/skills/comment-funnel in your project.

What does Comment Funnel need to run?

Going by SKILL.md and its folder, Comment Funnel needs the command-line tools its instructions call (curl). Our summary lists: A credential in YOUR_API_KEY; A credential in YOUR_KEY.

Does Comment Funnel access the network?

SKILL.md names 3 domains. In commands or code: api.upload-post.com and instagram.com; the agent is likely to contact these when it follows the instructions. As links in the text: docs.upload-post.com. This is read from the text; nothing was executed.

Is Comment Funnel 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 Comment Funnel use?

Comment Funnel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Comment Funnel use?

About 4.1k tokens (SKILL.md is roughly 16k 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 559 tokens, read only when the agent opens those files.

What are the alternatives to Comment Funnel?

Skills that share tags, products or a category with Comment Funnel: Comment Responder (Ootto-AI/claude-content-skills, 112 stars), Dm Script Writer (Ootto-AI/claude-content-skills, 112 stars), 100m Leads (getagentseal/founder-playbook, 724 stars) and Bright Data MCP (brightdata/skills, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Comment Funnel?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.