Skill rankings
Best email and calendar skills for AI agents
Find skills that help agents summarize inboxes, draft replies, schedule meetings, prepare agendas, and manage follow-ups.
Shown: 4 · Candidates: 471
Compare top 4- 01
Cli
A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.
@googleworkspaceUtility30,130Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 21/100
- 02
Khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
@khoj-aiData35,337Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 03
Cli
Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
@larksuiteProductivity16,552Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 84/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 17/100
- 04
Obsidian Second Brain
Cross-CLI skill for Obsidian: turn your vault into a living AI-first second brain across Claude Code, Codex, Gemini, and OpenCode. 43 commands - now with /obsidian-architect to document your codebase, key-less web research, Google Calendar, and self-rewriting notes.
@eugeniughelburAgent Frameworks4,294Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 73/100
- Quality
- 100/100
- Freshness
- 21/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 16/100
A shortlist from up to 480 directory candidates, not the entire registry. Stars belong to repositories. Signals are not safety guarantees or runtime verification.
How this list works
Matches task and source metadata, then considers quality, popularity and freshness. Source descriptions are not execution evidence.
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.







