Creator · aiagentwithdhruv
Last updated · Sep 1, 2026
Use when Dhruv shares a long-form (1-3 hour) team meeting recording or transcript and wants to publish it on YouTube as build-in-public content. Produces title, description, thumbnail prompt, tags, chapters, and pinned comment. Works from RTF, TXT, MD transcripts or audio files (
Sandbox only
Install targets
Codex install prompt
Install the "build-in-public-youtube" agent skill from https://github.com/aiagentwithdhruv/skills/tree/main/build-in-public-youtube. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when Dhruv shares a long-form (1-3 hour) team meeting recording or transcript and wants to publish it on YouTube as build-in-public content. Produces title, description, thumbnail prompt, tags, chapters, and pinned comment. Works from RTF, TXT, MD transcripts or audio files (with transcribe.py). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"aiagentwithdhruv-build-in-public-youtube","task":"Install build-in-public-youtube","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aiagentwithdhruv/skills --skill build-in-public-youtube
Maintenance
fresh
11d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
16
59/100 Quality · 69/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The SKILL.md references external files (brand_palette.md, feedback_never_auto_publish.md) that are not included in the excerpt; ensure they exist in the repository for full functionality.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
16 GitHub stars
Repo activity
16 stars, 6 forks
Maintenance
11d since push
License
MIT
Install
npx skills add aiagentwithdhruv/skills --skill build-in-public-youtube
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add aiagentwithdhruv/skills --skill build-in-public-youtubeDo not use when
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npx skills add Alisa0808/vox-director --skill vox-director
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175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20build-in-public-youtube%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20build-in-public-youtube%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aiagentwithdhruv-build-in-public-youtube/install
Agent should check
Copy prompt
Task: Use build-in-public-youtube in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20build-in-public-youtube%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aiagentwithdhruv-build-in-public-youtube/install
Install command: npx skills add aiagentwithdhruv/skills --skill build-in-public-youtube
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aiagentwithdhruv-build-in-public-youtube/install
LLM text format
/api/skills/aiagentwithdhruv-build-in-public-youtube/install?format=text
Find alternatives
/api/skills/search?q=build-in-public-youtube&limit=3
Agent prompt
Use build-in-public-youtube for this task. Review https://www.openagentskill.com/api/skills/aiagentwithdhruv-build-in-public-youtube/install, then install with: npx skills add aiagentwithdhruv/skills --skill build-in-public-youtubeRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aiagentwithdhruv-build-in-public-youtube
LLM text
/api/registry/manifest/aiagentwithdhruv-build-in-public-youtube?format=text
Install alias
/api/registry/install/aiagentwithdhruv-build-in-public-youtube
Recommend
/api/registry/recommend?task=Use%20build-in-public-youtube%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: build-in-public-youtube description: Use when Dhruv shares a long-form (1-3 hour) team meeting recording or transcript and wants to publish it on YouTube as build-in-public content. Produces title, description, thumbnail prompt, tags, chapters, and pinned comment. Works from RTF, TXT, MD transcripts or audio files (with transcribe.py). ---
# Build-in-Public YouTube — Long-Form Team Meeting → YouTube Episode
## What this skill does
Turns Dhruv's long Saturday/Sunday team sync recordings (Afeefa, Shailendra, Vishal, Navpreet + Dhruv) into a complete YouTube upload pack:
- **Title** (clickable, honest, build-in-public framed) - **Description** (chapter timestamps, what's covered, links, team credits, hashtags) - **Thumbnail prompt** (Gemini-paste-ready, brand palette: deep dark + neon cyan #18D1E0 + metallic grey) - **Tags** (25-30 YouTube tags) - **Chapters** (with timestamps if known, otherwise structural placeholders) - **Pinned comment** (CTA + community + product links)
This is the canonical format for the AIwithDhruv "Build-in-Public Diaries" series.
---
## When to invoke
Trigger phrases from Dhruv: - "Here's the Sunday team recording, write a YouTube post" - "Make a YouTube title for this transcript" - "We did 2 hours yesterday, can we upload it" - "Build-in-public episode from this" - Or just shares a `.rtf` / `.txt` / `.md` transcript inside `Library/Mobile Documents/com~apple~TextEdit/Documents/` or `inbox/recordings/`
---
## Series identity (locked)
| Field | Value | |------|------| | Channel | AIwithDhruv (main) | | Series name | **Build-in-Public Diaries** | | Episode prefix | `Build-in-Public Diaries — Ep N` | | Cadence | 1-2 long-form episodes per week (weekend syncs + Wednesday mid-week sync if any) | | Duration | 1-3 hours unedited (NO heavy editing — raw is the brand) | | Voice | First-person from Dhruv ("we built", "I shipped", "we lost", never "the team did") | | Brand palette | Deep dark `#0A0E1A` + neon cyan `#18D1E0` + metallic grey. NO orange / red / teal-mint. (See `brand_palette.md`) | | Format | 16:9, 1080p min, thumbnails 1280x720 |
---
## Inputs you need before generating
If any of these are missing, ASK Dhruv before drafting:
1. **Episode number** (default to next sequential: check the channel or ask) 2. **Recording date** (e.g., "Apr 26, 2026") — used in title + filename 3. **Recording length** in HH:MM (estimate from word count if no audio: ~150 words/min) 4. **Path to transcript** (`.rtf` / `.txt` / `.md`) 5. **Public revenue claim allowed?** (default: NO. Don't drop ₹/$ numbers without explicit approval) 6. **Specific milestone to lead with?** (e.g., "Vishal joined", "AutoBOQ shipped", "first paid client")
If you have the transcript path but no metadata, run `wc -w <file>` to estimate length and propose Episode N + date + suggested headline angle. Then wait for confirmation.
---
## Step-by-step process
### Step 1 — Read the transcript fully
Convert RTF if needed: `textutil -convert txt -stdout "input.rtf" > /tmp/transcript.txt`
Read end-to-end. Don't skim. Look for: - **Strategic decisions** (pivots, hires, product calls) - **Real numbers** (only use them if Dhruv approved public-revenue mode) - **Tools/stack mentioned** (Claude, Antigravity IDE, Blotato, Plivo, Flow, Vercel, etc.) - **Honest losses / blockers** (these make the best build-in-public hooks) - **Personal moments** (team onboarding, philosophy, framework calls)
### Step 2 — Extract the 5 anchor points
Every episode pack is built on these 5 anchor points pulled from the transcript:
1. **The headline decision** — the one thing this meeting will be remembered for 2. **The week's score** — wins shipped, losses absorbed 3. **The team motion** — who did what, who joined, who graduated 4. **The technical reveal** — one stack/tool/pattern that was tested or chosen 5. **The next-7-days commit** — public commitment so viewers can hold us accountable
Write these 5 lines first. Title and description flow from them.
### Step 3 — Generate the upload pack
Apply the templates in **Reference Templates** below. Always show the full pack to Dhruv for approval before suggesting upload. Never auto-publish (see `feedback_never_auto_publish.md`).
### Step 4 — Save the pack
Write the final pack to `/tmp/<recording-filename>_episode_pack.md` so Dhruv can copy-paste into YouTube directly. Print location at end.
---
## Reference Templates
### Title formulas (pick one, A/B is fine)
**Formula 0 — Setup / Foundation video (use ONCE, for the genesis "operating manual" video):** ``` {$0 MRR / honest current state}, {$tool spend}, {N products}: How {brand} Actually Works ({Setup / Operating Manual / Day 0}) ``` Example: `$0 MRR, $400/mo Tools, 4 Products: How AIwithDhruv Actually Works (Build-in-Public Setup)` Use this only for the first/foundation video that explains how the team and stack are wired. NOT for ongoing weekly episodes.
**Formula A — Decision lead (best for big pivots/hires, ongoing episodes):** ``` Build-in-Public Diaries — Ep {N}: {THE ONE DECISION} | Day {X} of the 45-Day Sprint ``` Example: `Build-in-Public Diaries — Ep 3: We Hired 4 People in One Weekend | Day 12 of the 45-Day Sprint`
**Formula B — Stakes lead (best for weeks with money/risk on the line):** ``` {X Hours} of Real Strategy: How We're Trying to Hit ₹{Y} in {Z} Days (Build-in-Public Diaries Ep {N}) ``` Use only if revenue mode = approved.
**Formula C — Team lead (best when a meeting introduces team):** ``` Meet the Team Building 4 AI Products in Public — Sunday Sync Ep {N} ```
**Formula D — Stack lead (best when one tool/tech is the star):** ``` We Replaced {Old Tool} With {New Tool} — Live Decision in Sunday Sync (Build-in-Public Ep {N}) ```
**Formula E — Honesty hook (use anytime real numbers are public):** ``` {$honest current state}: Here's the {N-Day} Plan to Change That ({Build-in-Public Ep N}) ``` Example: `We're at $0 MRR. Here's the 45-Day Plan to Land Our First Client (Build-in-Public Ep 4)`
**Title rules:** - 60-70 chars max for full visibility - No emoji in title (looks unserious for B2B audience) - Number → real number (no clickbait inflation) - Episode number always present - "Build-in-Public Diaries Ep N" recognized somewhere in the title
### Description template
``` {ONE-LINE HOOK — what this episode is actually about, 200 chars max}
This is the unfiltered {duration} Sunday sync from {date}. No edits. Real strategy, real arguments, real pivots.
━━━━━━━━━━━━━━━━━━━━ 👥 WHO'S IN THE ROOM ━━━━━━━━━━━━━━━━━━━━ Dhruv Tomar — AI Architect & Founder, AIwithDhruv {LIST EACH TEAM MEMBER PRESENT WITH 1-LINE ROLE}
━━━━━━━━━━━━━━━━━━━━ 📋 WHAT WE COVER ━━━━━━━━━━━━━━━━━━━━ {5 ANCHOR POINTS as bullet list — 1 line each}
━━━━━━━━━━━━━━━━━━━━ ⏱️ CHAPTERS ━━━━━━━━━━━━━━━━━━━━ {TIMESTAMPS — see Chapter Generation below}
━━━━━━━━━━━━━━━━━━━━ 🛠️ TOOLS & STACK MENTIONED ━━━━━━━━━━━━━━━━━━━━ {LIST OF TOOLS WITH PURPOSE — 1 line each, no affiliate links unless explicitly approved}
━━━━━━━━━━━━━━━━━━━━ 🚀 PRODUCTS WE'RE BUILDING ━━━━━━━━━━━━━━━━━━━━ QuotaHit — AI Inbound Revenue OS (CRM + AI calling) | quotahit.com (when live) AutoBOQ — AI construction estimation for SMB contractors | github.com/aiagentwithdhruv/autoboq IndianWhisper — Hindi/Hinglish/Indian-English voice-to-text | indianwhisper.com Angelina-OS — Personal AI OS, 30+ tools
━━━━━━━━━━━━━━━━━━━━ 📌 LINKS ━━━━━━━━━━━━━━━━━━━━ 🌐 Site: https://aiwithdhruv.com 💼 LinkedIn: https://www.linkedin.com/in/aiwithdhruv/ 🐦 X: https://x.com/aiwithdhruv 📸 Instagram: https://instagram.com/aiwithdhruv 🐙 GitHub: https://github.com/aiagentwithdhruv {PRODUCT-SPECIFIC LINKS RELEVANT TO THIS EPISODE}
━━━━━━━━━━━━━━━━━━━━ 👋 ABOUT ━━━━━━━━━━━━━━━━━━━━ We're building 4 AI products in public — QuotaHit, AutoBOQ, IndianWhisper, Angelina-OS — using Claude Code as a workflow engine. This channel is the unfiltered process. If you're building, hiring, or learning AI for real production work — subscribe.
#BuildInPublic #AIwithDhruv #ClaudeCode #AIAgents #SaaS #Founder #Indian{Optional product hashtags — pick 2-3 max}
{TEAM CREDIT BLOCK — only when team appears on camera or is named. ALWAYS check team_linkedin_profiles.md NO-PUBLIC-CREDIT list before adding anyone:} Team: - Afeefa Albeena Sheikh — AI Architect | https://www.linkedin.com/in/afeefa-albeena-sheikh-298857192/ - Shailendra Gour — Developer | https://www.linkedin.com/in/shailendra-gour-01922b22b/ - Navpreet Kaur — AI GrowthLead | https://www.linkedin.com/in/navpreet-kaur-b22521305/ ```
**CRITICAL: NO-PUBLIC-CREDIT enforcement.** Some team members have explicitly opted out of public promotion (currently: Vishal). NEVER name them in descriptions, NEVER link them, NEVER include them in credit blocks — even if they appear on camera or are mentioned by other speakers in the recording. Refer to "the team" or "an internal teammate" if needed. The full NO-PUBLIC-CREDIT list lives in `team_linkedin_profiles.md`.
**Description rules:** - First 150 chars are the hook (these show in search snippet) - Always include chapters — long-form needs them for completion rate - Always credit team using canonical LinkedIn URLs from `team_linkedin_profiles.md` - Hashtag count: 6-9 max (YouTube cap = 15, but quality > quantity) - Never mention source creators (per `feedback_content_voice.md`) - Don't drop revenue numbers unless Dhruv explicitly opts in for this episode
### Chapter generation
If timestamps aren't provided, build chapters from the transcript's structural sections. For long-form team meetings, default outline:
``` 00:00 Cold open / context {XX:XX} Strategy block — the week's plan {XX:XX} {PRODUCT 1} update {XX:XX} {PRODUCT 2} update {XX:XX} {PRODUCT 3} update {XX:XX} Team motion (hires, role changes, dispatch) {XX:XX} Tools / stack discussion {XX:XX} Content + social media plan {XX:XX} Open questions and pending decisions {XX:XX} Action items + commits for next 7 days {XX:XX} Wrap ```
Mark unknown times with `[XX:XX]` so Dhruv can fill in from YouTube Studio later.
**Min 8 chapters, max 14.** YouTube algorithm rewards 8+ chapters on long-form.
### Thumbnail prompt formula (Gemini-paste-ready)
Always 16:9, 1280×720 minimum. Brand palette: deep dark + neon cyan + metallic grey ONLY.
Template (paste this into Google Gemini, free):
``` Create a 16:9 cinematic YouTube thumbnail (1280x720, sharp print-ready).
SCENE: {ONE LINE — the scene that anchors the episode. Examples: - "A founder at a desk surrounded by 4 floating product UIs (CRM, voice app, design tool, dashboard) with team members visible behind glass walls" - "A whiteboard packed with sticky notes labelled QuotaHit / AutoBOQ / IndianWhisper / Angelina, with a calendar showing 45 DAYS in glowing cyan" - "A war-room table with 5 laptops open, neon city skyline behind, stack of business cards labelled with the 4 product names"}
STYLE: - Cinematic photography, shallow depth of field, dramatic lighting - Color palette STRICTLY: deep dark navy/black background (#0A0E1A) + neon cyan accents (#18D1E0) + metallic grey/silver highlights - NO orange, NO red, NO teal-mint — these are off-brand - Slight glow / volumetric light from cyan elements - Photorealistic, NOT illustrated, NOT cartoon
TYPOGRAPHY OVERLAY: - Top-left or bottom-right: bold sans-serif "{HEADLINE TEXT — 3-6 words MAX, ALL CAPS}" in cyan or white - Tiny brand badge bottom-left: "AIwithDhruv • Build-in-Public • Ep {N}" - TEXT MUST BE SHARP, READABLE, NO BLUR, NO OVERLAP WITH FACES
COMPOSITION: - Subject(s) in left third, headline text in right two-thirds (or flip) - Generous safe margin (5% around all edges) - Mobile preview rule: must read at 200px wide
NEGATIVE PROMPT: no orange, no red, no warm yellow, no teal mint, no cluttered backgrounds, no stock-photo people, no clipart, no low resolution, no text overlap, no face cutoff, no distorted text ```
**Thumbnail rules:** - Always 16:9 - Always brand palette (no exceptions) - Headline text always 3-6 words max -
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Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for build-in-public-youtube, ready for a manual X post.
build-in-public-youtube: Use when Dhruv shares a long-form (1-3 hour) team meeting recording or transcript and wants t... 16 stars https://www.openagentskill.com/skills/aiagentwithdhruv-build-in-public-youtube?ref=x
Listing + install path for build-in-public-youtube: https://www.openagentskill.com/skills/aiagentwithdhruv-build-in-public-youtube?ref=x Install: npx skills add aiagentwithdhruv/skills --skill build-in-public-youtube
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