Video summary
I Tested 100+ Hermes Agent Automations. These Are The Best
Main summary
Key takeaways
Summary of technological concepts & “best Hermes skills” (top 14)
The speaker (Dibby) tests 100+ Hermes “skills” (small Markdown-based task modules distributed via GitHub repos) and recommends 14 skills that are genuinely useful instead of “trash” ones. A recurring constraint is token/memory efficiency: a “good Hermes skill stays under 15 kilobytes” to avoid bloating agent memory and wasting tokens.
Core Hermes skill system (explained)
- Skill format: a Markdown file that guides an agent step-by-step.
- Install method: copy a GitHub repo and ask the Hermes agent to download/install.
- Execution: installed skills live in the agent’s memory and can be triggered during prompts or manually by instructing the agent to use a specific skill.
Top 14 recommended skills (with key features)
#14 Skill Claw (passive “self-improvement”)
- After each session, it runs an evolution loop:
- reviews which skills were used,
- deduplicates overlaps,
- rewrites weak skills,
- and updates the skill library automatically.
- Goal: agent gets better over time without manual intervention.
- Emphasized as passive/background automation.
#13 Matt Pocock’s “skills pack” (15 skills total; 3 standouts)
-
Grill Me
- Before coding, the agent interviews the user with 5 targeted questions
- Intended to reduce misinterpretation/mis-building by collecting requirements up front.
-
Caveat
- Reduces token bloat in long sessions
- Claims up to 75% lower token usage
-
Teach Me
- Makes the agent teach topics using an HTML-structured output
- Example claim: teaching solving a Rubik’s Cube
#12 Defuddle (webpage token-efficiency / reader mode)
- Web research issue: reading full webpages (nav, footer, cookie banners, side ads) burns tokens.
- Defuddle converts webpages into clean “reader mode” markdown before the agent reads them.
- Result: agent reads 3–4× more efficiently.
- Recommended as critical for research, competitive analysis, market research, documentation lookups.
#11 Humanizer skill (anti–AI writing style)
- Used for copywriting outputs (emails, proposals, social posts) that often sound like “AI slop.”
- Claims to use a skill generated from “signs of AI” patterns and auto-updates when that reference page changes.
- Purpose: rewrite agent output into natural human voice as a “last line of defense.”
#10 YouTube Full (cloud/VPS compatibility for transcripts)
- Problem: Hermes’ default YouTube skill breaks on VPS/cloud because YouTube blocks cloud IPs.
- Replacement supports:
- transcript extraction
- channel browsing
- playlist parsing
- video search
- Claims: no Google API key required; powered by processing ~15M transcripts/month.
- Use case: agents can learn domain knowledge from transcripts (example: improving YouTube scriptwriting).
#9 Composio (integrations without OAuth/API pain)
- Connects Hermes agents to common tools (e.g., Gmail, Sheets, Slack, Notion, HubSpot, Salesforce) via a single skill.
- Claims: 1000+ SaaS tools, no hand-rolled OAuth, no API key juggling.
- Motivation: integrations were the bottleneck when adding new tools; Composio removes that bottleneck.
#8 Addy Osmani’s dev lifecycle skills pack (24 skills mapped to “/commands”)
- Provides production-grade skills corresponding to dev workflow stages:
- /spec, /build, /test, /review-before-merge, /ship
- Standout: doubt-driven development
- Mid-task, the agent pauses to extract assumptions, challenge them, reconcile gaps, then continues.
- For irreversible/production-impact steps, it questions itself first.
#7 Resemble AI Detect (deepfake/AI-content detection)
- Adds detection for user-submitted content in ingestion pipelines:
- AI-generated audio/images/video/text
- Claims:
- identifies which tool generated content (e.g., 11 Labs, ChatGPT, Claude)
- applies watermarking/AI labeling so the agent treats it appropriately.
#6 Mission Control (multi-agent infrastructure + visibility)
- For running multiple Hermes agents (research, coding, client comms).
- Provides a fleet dashboard:
- task dispatch
- agent health monitoring
- real-time cost tracking
- live status across agents
- Positioned as the difference between “amateur agent setup” and “multi-agent machine.”
#5 Open Montage (agentic video production system)
- Claimed as the world’s first open-source agentic video production system.
- Claims:
- 12 pipelines, 52 tools, 500+ agent skills in one install
- Workflow:
- user provides a YouTube video/reel reference
- agent analyzes transcript + pacing/scene/keyframes/tone
- outputs 2–3 concepts, tool path plan, cost estimate, and preview before generating frames
- Example cost/scene planning: a 60-second Pixar-style animated short requires multiple generated assets and “will probably cost” ~$1.33.
- Emphasized for content products and generating video assets without manual editing.
#4 Anthropic cybersecurity skills (security knowledge base mapped to MITRE ATT&CK)
- Built by security researcher McColl 975.
- Claims: 700+ structured skills mapped to MITRE ATT&CK.
- Queryable content includes:
- threat modeling
- vulnerability assessment
- secure code review
- incident response playbooks
- Use case: replaces the need for a dedicated security engineer at small-team stage.
#3 O my Hermes (multi-agent “committee” + verification)
- Turns one agent into a coordinated multi-agent committee that:
- decomposes tasks into subtasks,
- assigns specialist agents or external tools (e.g., Codex, Gemini, Cursor),
- runs in parallel/staged pipelines,
- and verifies results instead of accepting the first answer.
- Claimed benefits:
- faster large tasks
- better review/QA via specialists
- session logs for visibility
- token savings up to ~50%
- persistent execution until verification passes.
#2 “Details that make interfaces feel better” (UI polish automation)
- Converts an interface design article into an automated skill.
- When the agent builds a UI, it applies:
- text wrapping (avoid orphaned headline words)
- consistent border radius for card/button combos
- icon animations (opacity/scale/blur)
- tabular numbers to prevent stat jitter
- interruptible animations that don’t freeze on rapid clicks
- Goal: fix “UI feels off” issues automatically.
#1 Agent Reach (internet access / resilient platform access)
- Main problem: agents can reason/build, but often become “blind” when asked to browse the internet due to platform restrictions (API limits, 403s, cloud blocking, etc.).
- Agent Reach claims to provide access to:
- Twitter, Reddit, YouTube, GitHub and more
- zero API fees (as claimed)
- Key differentiator: backup paths when platforms change/block integrations, so the agent “doesn’t notice” failures.
- Positioned as enabling the whole internet, not just easily scrapable parts.
Honorable mentions (brief)
- Browser Harness: connects to a real Chrome browser so the agent can click/scroll/fill forms; writes helper code when it encounters unfamiliar pages (“self-healing”).
- Code Base Memory MCP: indexes code into a persistent knowledge graph; claims huge scaling tests (e.g., Linux kernel scan) and token reductions; multi-language support.
- Loop library: provides feedback-cycle loops for performance optimization (measure → improve → keep if better → repeat), rather than one-shot “do it once” instructions.
Main speakers/sources (as stated)
- Speaker: Dibby (builder of apps using Hermes agent; claims $47,000 generated in <50 days with these tools)
- Referenced creators/companies:
- Matt Pocock (newsletter; creator of a skills pack)
- Addy Osmani (built the dev lifecycle skills pack)
- Resemble AI Detect (deepfake detection tool/pack)
- McColl 975 (Anthropic cybersecurity skills)
- Anthropic cybersecurity skills pack
- Inspiration mentioned: “O my Claude” skill (for committee/verification design)