Enter AI Skills resource library
First see what problems a resource solves, then read the full process or download the reviewed version.
Browse resource libraryFIELD NOTES
This is the practical guide library. Find breaking news in AI updates and working templates in Resources.
The resource library turns guides into downloadable Skills and discloses licenses, capability boundaries, security reviews, versions, and hashes.
First see what problems a resource solves, then read the full process or download the reviewed version.
Browse resource libraryUnderstand why third-party shared packages cannot be directly installed, and how to isolate, review, and cleanly publish.
View Review GuidelinesKNOWLEDGE INDEX
The public index only reads published knowledge content that has reached its publication time, retaining content type and last update time.
9 items in total
Based on 2026 public official materials, this analyzes why enterprises are starting to cultivate FDEs from internal engineering teams, including industry scenarios, system integration, evaluation governance, and production responsibility in training plans.
View tech updateDesign a verifiable, rollback-capable enterprise AI workflow using the owner, trigger conditions, trusted inputs, AI-human boundaries, output actions, test samples, stop conditions, and operational responsibility.
Read knowledge guideUse six dimensions - business diagnosis, data and systems, AI workflows, evaluation governance, production operations, and on-site delivery - to assess the capability starting point of enterprise FDE engineers and design a real-project development path.
Read knowledge guideRecord enterprise technology adoption recommendations based on business maturity, data boundaries, integration costs, evaluability, and exit costs; do not replace production judgment with vendor hype or demo performance.
View tech updateEstablish a data contract for the marketing dashboard based on timezone, currency, discounts, refunds, taxes, and fulfillment status to avoid the same number meaning different things across teams.
Read knowledge guideCompare platform attribution, UTM, first- and last-touch points, and order sources to explain differences between ad platforms and order systems, and establish a reviewable operational decision metric.
Read knowledge guideBefore launching the lead generation system, verify form authorization, source parameters, duplicate leads, assignment rules, failure compensation, and external outreach boundaries, keeping review evidence for verification.
Read knowledge guideBefore launching the enterprise knowledge base, how to inventory document sources, knowledge owners, permissions, version conflicts, and representative questions, and establish a traceable evaluation and update mechanism.
Read knowledge guideReview AI pilots from five aspects: business metrics, identity permissions, quality evaluation, exception handling, and operational costs, to form an auditable production release and rollback checklist.
Read knowledge guideCheck the pilot using business metrics, identity permissions, quality evaluation, exception handling, and operational costs to form clear go-live and rollback decisions.
Read the Launch ChecklistFirst, organize authoritative sources, permissions, knowledge owners, and standard answers to reduce the problem of more data leading to less reliable answers.
Read the Knowledge Preparation GuideTell us whether you are preparing your knowledge base, validating a pilot, or pushing toward production launch, and we will start from the corresponding questions.
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