agency-meetup-publish: Coding Workflows for AI Agents | OpenAgentSkill

Overview

End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.

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AGENCY Meetup Publish

Publish AGENCY Community meetup recordings to YouTube with intro, thumbnail, description, and timecodes.

Prerequisites

~/ai_projects/youtube-uploader/ — YouTube upload scripts with OAuth credentials
~/ai_projects/my-video/out/agency-swarm-intro.mp4 — AGENCY intro animation (6s, 1920x1080)
Zoom OAuth configured at ~/.zoom_credentials/
ffmpeg and ffprobe installed
Playwright or Chrome installed (for thumbnail rendering)

Pipeline Overview

1. Identify meeting → 2. Download from Zoom → 3. Add intro/outro
→ 4. Generate timecodes → 5. Write description → 6. Create thumbnail
→ 7. Upload to YouTube → 8. Set thumbnail → 9. Add to playlist

Step 1: Identify the Meeting

Ask the user for:

Meeting name or Zoom ID — if unknown, list recent recordings:

python3 ~/.claude/skills/zoom/scripts/zoom_meetings.py recordings --start YYYY-MM-DD

Speaker name — for description and thumbnail
Topic summary — or derive from transcript

Get recording details:

python3 ~/.claude/skills/zoom/scripts/zoom_meetings.py recording MEETING_ID

This returns MP4 download URL, duration, transcript URL, and other files.

Step 2: Download from Zoom

Download MP4 and VTT transcript in parallel:

# Video (run in background — large file)
curl -L -o ~/Brains/brain/YYYYMMDD-meeting-slug.mp4 "DOWNLOAD_URL"

# Transcript
curl -L -o ~/Brains/brain/YYYYMMDD-meeting-slug.vtt "TRANSCRIPT_URL"

Naming convention: YYYYMMDD-meeting-slug.mp4 where slug is a kebab-case topic summary.

Step 3: Add Intro (and Outro if Available)

The intro and meeting likely have different specs. Check both:

ffprobe -v quiet -print_format json -show_streams INTRO.mp4
ffprobe -v quiet -print_format json -show_streams MEETING.mp4

Key parameters to match: resolution, fps, audio sample rate, audio channels.

Re-encode intro to match meeting

ffmpeg -y -i ~/ai_projects/my-video/out/agency-swarm-intro.mp4 \
  -vf "scale=WIDTH:HEIGHT:force_original_aspect_ratio=decrease,pad=WIDTH:HEIGHT:(ow-iw)/2:(oh-ih)/2:black" \
  -r FPS -c:v libx264 -preset fast -crf 18 \
  -ar SAMPLE_RATE -ac CHANNELS -c:a aac \
  /tmp/intro-matched.mp4

Trim meeting start

Review the VTT to find where real content begins. Typically trim 1-3 seconds of silence:

ffmpeg -y -ss TRIM_SECONDS -i MEETING.mp4 \
  -c:v libx264 -preset fast -crf 18 \
  -ar SAMPLE_RATE -ac CHANNELS -c:a aac \
  -r FPS -vf "scale=WIDTH:HEIGHT" \
  /tmp/meeting-trimmed.mp4

This re-encode is necessary for concat compatibility. Run in background — it takes several minutes for long recordings.

Concatenate

echo "file '/tmp/intro-matched.mp4'" > /tmp/concat-list.txt
echo "file '/tmp/meeting-trimmed.mp4'" >> /tmp/concat-list.txt
# If outro exists:
# echo "file '/tmp/outro-matched.mp4'" >> /tmp/concat-list.txt

ffmpeg -y -f concat -safe 0 -i /tmp/concat-list.txt -c copy \
  ~/ai_projects/my-video/out/YYYYMMDD-meeting-slug-final.mp4

Step 4: Generate Timecodes from Transcript

Read the VTT transcript and identify up to 20 topic transitions. Look for:

Speaker changes (especially when the main speaker starts)
Topic shifts signaled by phrases like "давайте", "следующий", "перейдем к"
Q&A segments
Demo/screen-share moments
Conclusion/wrap-up

Important: Timecodes must account for the intro offset. Add the intro duration (typically 6s) to all VTT timestamps.

Format: MM:SS Topic description or H:MM:SS for videos over 1 hour.

Step 5: Write Description

Follow the template from previous AGENCY Community uploads. See references/description-template.md for the full template.

Key sections:

Title line — AGENCY Community Meetup: [Topic]
Summary paragraph — 2-3 sentences about the speaker and topic
Bullet points — 5-7 key topics covered (use •)
Timecodes — prefixed with ⏱ Таймкоды:
Community line — AGENCY Community — сообщество практиков AI-автоматизации.
Links — prefixed with 🔗, using → arrows
Hashtags — topic-relevant, always include #AGENCY #Community

Save description to /tmp/youtube-description.txt.

Step 6: Create Thumbnail

Use the AGENCY thumbnail HTML template rendered to 1280x720 PNG.

Template approach

Write an HTML file at /tmp/thumbnail.html based on references/thumbnail-template.html. Customize:

Title text — short, punchy (2-4 words max per line)
Subtitle — in EB Garamond italic
Speaker line — Speaker Name × AGENCY
Speaker photo — if available, use with mix-blend-mode: hard-light

Render to PNG

Preferred: headless Chrome (no install needed):

"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
  --headless --screenshot=/tmp/thumbnail.png \
  --window-size=1280,720 --hide-scrollbars \
  "file:///tmp/thumbnail.html"

Fallback: Playwright:

from playwright.sync_api import sync_playwright
with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page(viewport={'width': 1280, 'height': 720})
    page.goto('file:///tmp/thumbnail.html')
    page.wait_for_timeout(2000)
    page.screenshot(path='/tmp/thumbnail.png')
    browser.close()

Step 7: Upload to YouTube

cd ~/ai_projects/youtube-uploader && python3 youtube_upload.py \
  --video ~/ai_projects/my-video/out/FINAL.mp4 \
  --title "TITLE" \
  --description "$(cat /tmp/youtube-description.txt)" \
  --category education \
  --privacy public \
  --tags "TAG1,TAG2,..." \
  --yes

The upload script outputs the Video ID and Video URL on success. Capture these for the next steps.

Title guidelines: Keep under 100 chars. Format: Topic — Speaker Name. Include key terms for search.

Step 8: Set Thumbnail

cd ~/ai_projects/youtube-uploader && \
  python3 youtube_manage.py thumbnails set VIDEO_ID /tmp/thumbnail.png

Step 9: Add to Playlist

The AGENCY Community playlist ID is PLZNP0SKU2SqjHOy01UjDxhSRtcluvuw0m.

cd ~/ai_projects/youtube-uploader && \
  python3 youtube_manage.py playlists add-item PLZNP0SKU2SqjHOy01UjDxhSRtcluvuw0m VIDEO_ID

Parallelization Strategy

For speed, run these in parallel where possible:

Phase	Can parallelize with
Download MP4	Download VTT
Re-encode meeting (bg)	Read transcript, draft timecodes
Upload to YouTube (bg)	Generate thumbnail
Set thumbnail	Add to playlist

Output

Report to the user:

Video URL: https://www.youtube.com/watch?v=VIDEO_ID
Studio URL: https://studio.youtube.com/video/VIDEO_ID/edit
Playlist: AGENCY Community

Existing Skills Used

This pipeline builds on:

zoom — ~/.claude/skills/zoom/ for Zoom recording access
video-youtube-upload — ~/.claude/skills/video-youtube-upload/ for upload reference
youtube — ~/.claude/skills/youtube/ for post-upload management
agency-socials — ~/.claude/skills/agency-socials/ for cover design system reference

View source ↗

File metadata

name: agency-meetup-publish
description: End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.

View original text

---
name: agency-meetup-publish
description: End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.
---

# AGENCY Meetup Publish

Publish AGENCY Community meetup recordings to YouTube with intro, thumbnail, description, and timecodes.

## Prerequisites

- `~/ai_projects/youtube-uploader/` — YouTube upload scripts with OAuth credentials
- `~/ai_projects/my-video/out/agency-swarm-intro.mp4` — AGENCY intro animation (6s, 1920x1080)
- Zoom OAuth configured at `~/.zoom_credentials/`
- `ffmpeg` and `ffprobe` installed
- Playwright or Chrome installed (for thumbnail rendering)

## Pipeline Overview

```
1. Identify meeting → 2. Download from Zoom → 3. Add intro/outro
→ 4. Generate timecodes → 5. Write description → 6. Create thumbnail
→ 7. Upload to YouTube → 8. Set thumbnail → 9. Add to playlist
```

## Step 1: Identify the Meeting

Ask the user for:
- **Meeting name or Zoom ID** — if unknown, list recent recordings:
  ```bash
  python3 ~/.claude/skills/zoom/scripts/zoom_meetings.py recordings --start YYYY-MM-DD
  ```
- **Speaker name** — for description and thumbnail
- **Topic summary** — or derive from transcript

Get recording details:
```bash
python3 ~/.claude/skills/zoom/scripts/zoom_meetings.py recording MEETING_ID
```

This returns MP4 download URL, duration, transcript URL, and other files.

## Step 2: Download from Zoom

Download MP4 and VTT transcript in parallel:

```bash
# Video (run in background — large file)
curl -L -o ~/Brains/brain/YYYYMMDD-meeting-slug.mp4 "DOWNLOAD_URL"

# Transcript
curl -L -o ~/Brains/brain/YYYYMMDD-meeting-slug.vtt "TRANSCRIPT_URL"
```

**Naming convention:** `YYYYMMDD-meeting-slug.mp4` where slug is a kebab-case topic summary.

## Step 3: Add Intro (and Outro if Available)

The intro and meeting likely have different specs. Check both:

```bash
ffprobe -v quiet -print_format json -show_streams INTRO.mp4
ffprobe -v quiet -print_format json -show_streams MEETING.mp4
```

Key parameters to match: **resolution, fps, audio sample rate, audio channels**.

### Re-encode intro to match meeting

```bash
ffmpeg -y -i ~/ai_projects/my-video/out/agency-swarm-intro.mp4 \
  -vf "scale=WIDTH:HEIGHT:force_original_aspect_ratio=decrease,pad=WIDTH:HEIGHT:(ow-iw)/2:(oh-ih)/2:black" \
  -r FPS -c:v libx264 -preset fast -crf 18 \
  -ar SAMPLE_RATE -ac CHANNELS -c:a aac \
  /tmp/intro-matched.mp4
```

### Trim meeting start

Review the VTT to find where real content begins. Typically trim 1-3 seconds of silence:

```bash
ffmpeg -y -ss TRIM_SECONDS -i MEETING.mp4 \
  -c:v libx264 -preset fast -crf 18 \
  -ar SAMPLE_RATE -ac CHANNELS -c:a aac \
  -r FPS -vf "scale=WIDTH:HEIGHT" \
  /tmp/meeting-trimmed.mp4
```

This re-encode is necessary for concat compatibility. Run in background — it takes several minutes for long recordings.

### Concatenate

```bash
echo "file '/tmp/intro-matched.mp4'" > /tmp/concat-list.txt
echo "file '/tmp/meeting-trimmed.mp4'" >> /tmp/concat-list.txt
# If outro exists:
# echo "file '/tmp/outro-matched.mp4'" >> /tmp/concat-list.txt

ffmpeg -y -f concat -safe 0 -i /tmp/concat-list.txt -c copy \
  ~/ai_projects/my-video/out/YYYYMMDD-meeting-slug-final.mp4
```

## Step 4: Generate Timecodes from Transcript

Read the VTT transcript and identify **up to 20** topic transitions. Look for:
- Speaker changes (especially when the main speaker starts)
- Topic shifts signaled by phrases like "давайте", "следующий", "перейдем к"
- Q&A segments
- Demo/screen-share moments
- Conclusion/wrap-up

**Important:** Timecodes must account for the intro offset. Add the intro duration (typically 6s) to all VTT timestamps.

Format: `MM:SS Topic description` or `H:MM:SS` for videos over 1 hour.

## Step 5: Write Description

Follow the template from previous AGENCY Community uploads. See `references/description-template.md` for the full template.

Key sections:
1. **Title line** — `AGENCY Community Meetup: [Topic]`
2. **Summary paragraph** — 2-3 sentences about the speaker and topic
3. **Bullet points** — 5-7 key topics covered (use •)
4. **Timecodes** — prefixed with `⏱ Таймкоды:`
5. **Community line** — `AGENCY Community — сообщество практиков AI-автоматизации.`
6. **Links** — prefixed with 🔗, using → arrows
7. **Hashtags** — topic-relevant, always include `#AGENCY #Community`

Save description to `/tmp/youtube-description.txt`.

## Step 6: Create Thumbnail

Use the AGENCY thumbnail HTML template rendered to 1280x720 PNG.

### Template approach

Write an HTML file at `/tmp/thumbnail.html` based on `references/thumbnail-template.html`. Customize:
- **Title text** — short, punchy (2-4 words max per line)
- **Subtitle** — in EB Garamond italic
- **Speaker line** — `Speaker Name × AGENCY`
- **Speaker photo** — if available, use with `mix-blend-mode: hard-light`

### Render to PNG

Preferred: headless Chrome (no install needed):
```bash
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
  --headless --screenshot=/tmp/thumbnail.png \
  --window-size=1280,720 --hide-scrollbars \
  "file:///tmp/thumbnail.html"
```

Fallback: Playwright:
```python
from playwright.sync_api import sync_playwright
with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page(viewport={'width': 1280, 'height': 720})
    page.goto('file:///tmp/thumbnail.html')
    page.wait_for_timeout(2000)
    page.screenshot(path='/tmp/thumbnail.png')
    browser.close()
```

## Step 7: Upload to YouTube

```bash
cd ~/ai_projects/youtube-uploader && python3 youtube_upload.py \
  --video ~/ai_projects/my-video/out/FINAL.mp4 \
  --title "TITLE" \
  --description "$(cat /tmp/youtube-description.txt)" \
  --category education \
  --privacy public \
  --tags "TAG1,TAG2,..." \
  --yes
```

The upload script outputs the **Video ID** and **Video URL** on success. Capture these for the next steps.

**Title guidelines:** Keep under 100 chars. Format: `Topic — Speaker Name`. Include key terms for search.

## Step 8: Set Thumbnail

```bash
cd ~/ai_projects/youtube-uploader && \
  python3 youtube_manage.py thumbnails set VIDEO_ID /tmp/thumbnail.png
```

## Step 9: Add to Playlist

The AGENCY Community playlist ID is `PLZNP0SKU2SqjHOy01UjDxhSRtcluvuw0m`.

```bash
cd ~/ai_projects/youtube-uploader && \
  python3 youtube_manage.py playlists add-item PLZNP0SKU2SqjHOy01UjDxhSRtcluvuw0m VIDEO_ID
```

## Parallelization Strategy

For speed, run these in parallel where possible:

| Phase | Can parallelize with |
|-------|---------------------|
| Download MP4 | Download VTT |
| Re-encode meeting (bg) | Read transcript, draft timecodes |
| Upload to YouTube (bg) | Generate thumbnail |
| Set thumbnail | Add to playlist |

## Output

Report to the user:
- **Video URL**: `https://www.youtube.com/watch?v=VIDEO_ID`
- **Studio URL**: `https://studio.youtube.com/video/VIDEO_ID/edit`
- **Playlist**: AGENCY Community

## Existing Skills Used

This pipeline builds on:
- **zoom** — `~/.claude/skills/zoom/` for Zoom recording access
- **video-youtube-upload** — `~/.claude/skills/video-youtube-upload/` for upload reference
- **youtube** — `~/.claude/skills/youtube/` for post-upload management
- **agency-socials** — `~/.claude/skills/agency-socials/` for cover design system reference

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Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill relies on external scripts and paths (e.g., ~/.claude/skills/zoom/scripts/zoom_meetings.py) that are not included in the repository, which may reduce portability.
The SKILL.md excerpt is incomplete (thumbnail step cut off), but the full file likely contains it.
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Permission surface: secrets or environment access, shell or command execution

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Source repository: glebis/claude-skills
License: MIT
Version: 1.0.0
Last GitHub push: Sep 2, 2026
Registry updated: Sep 5, 2026
Instruction path: agency-meetup-publish/SKILL.md @ d0bc2063d00d

Version reported in registry metadata; check source releases before relying on it.

Quality

72/100

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58/100

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      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "coding-agents",
      "agent-skill"
    ],
    "known_risks": [
      "The skill relies on external scripts and paths (e.g., ~/.claude/skills/zoom/scripts/zoom_meetings.py) that are not included in the repository, which may reduce portability.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 76,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "The skill relies on external scripts and paths (e.g., ~/.claude/skills/zoom/scripts/zoom_meetings.py) that are not included in the repository, which may reduce portability.",
      "The SKILL.md excerpt is incomplete (thumbnail step cut off), but the full file likely contains it.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 72,
    "label": "Strong"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "15d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The skill relies on external scripts and paths (e.g., ~/.claude/skills/zoom/scripts/zoom_meetings.py) that are not included in the repository, which may reduce portability.",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The SKILL.md excerpt is incomplete (thumbnail step cut off), but the full file likely contains it."
  ],
  "agent_contract": {
    "task_input": "Use agency-meetup-publish in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 66/100 Manual review",
      "Audit: 76/100 Needs review",
      "Safety: 32/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "glebis-agency-meetup-publish (agency-meetup-publish)",
      "install_command": "npx skills add glebis/claude-skills --skill agency-meetup-publish",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "glebis-agency-meetup-publish",
      "task": "Use agency-meetup-publish in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/glebis-agency-meetup-publish",
    "api": "https://www.openagentskill.com/api/agent/skills/glebis-agency-meetup-publish",
    "audit": "https://www.openagentskill.com/skills/glebis-agency-meetup-publish/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=glebis-agency-meetup-publish&task=Use%20agency-meetup-publish%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20agency-meetup-publish%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20agency-meetup-publish%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/glebis-agency-meetup-publish/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/glebis-agency-meetup-publish"
  }
}

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Creator: glebis
Source: glebis/claude-skills
Indexed by: OpenAgentSkill community index

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