Skill comparison
Compare agent skills before installing.
Comparing 2 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Llm App is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Llm App
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llm App
Best first install candidate based on install readiness and adoption.
Freshest repo
mfs-ingest
Most recent maintenance signal among this shortlist.
| Signal | mfs-ingest Register, update, or re-sync data sources for MFS so they become searchable — postgres / mysql / mongo / snowflake / bigquery, github / jira / linear / notion / hubspot / zendesk, slack / discord / gmail / feishu, s3 / gdrive / web / file. Use whenever the user wants to ADD a new data source to MFS, change an existing connector's config, re-ingest / re-index a source, list registered connectors, or troubleshoot a sync that's not picking up data. Trigger phrases include "add X to MFS", "ingest my [postgres/slack/github/etc]", "register this repo / database / workspace", "make X searchable", "re-sync Y", "update the slack token", "what connectors do I have". Do NOT use for: searching / finding / reading content (use `mfs-find`); raw mutation of the source itself (MFS only reads). | Llm App Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. |
|---|---|---|
| Quality | 62/100 Promising | 100/100 Excellent |
| Decision verdict | 61/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 136 stars Verified outcomes are shown on each skill page | 59K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 31, 2026 | Jun 10, 2026 |
| Use-case fit | ||
| Workflow fit | ||
| Platform hints | Claude Code | Jupyter Notebook, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Database and SQL workflows · Claude Code teams · builders willing to evaluate younger projects | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add zilliztech/mfs --skill mfs-ingest | $ npx skills add pathwaycom/llm-app |