YYG501
Community@YYG501
YYG501 maintains PMAI, a structured product-management skill framework covering proposal, design, spec-writing, build, and Lark document synchronization for PMs.
Agent Skills by YYG501
Showing 27 vetted skills indexed across 1 GitHub repositories.
pmai-design
Facilitates product module design discussions and compiles approved decisions into build-ready specifications.
pmai-spec-writing
Compiles confirmed product decisions into module specs, PRDs, and review-ready requirement documents.
pmai-record
Records confirmed project knowledge into designated truth-source files with guarded commits.
pmai-upgrade
Upgrade the PMAI framework to the latest main commit or git tag with an AI-generated changelog summary.
pmai-doctor
Diagnoses PMAI framework installations and consumer repository health with read-only checks.
pmai-sync-from-lark
Syncs Feishu Docx document bodies back into local Markdown files without product judgment.
pmai-meta
Challenges product assumptions and generates counterexamples, alternative models, and recommendations for design decisions.
pmai-lark-review
Collects Lark Docx spec edits and comments, then routes them into proposal, design, or build workflows.
pmai-publish-to-lark
Publishes local Markdown documents to Feishu cloud docs with fine-grained updates.
pmai-build-cancel
Cancels an active worktree-mode build candidate and clears its in-progress state after PM confirmation.
pmai-status
Reports current product progress, active modules, and next steps in read-only mode.
pmai-feedback
Analyzes current session transcripts to generate framework improvement prompts for PMAI.
pmai-proposal
Generates versioned Product Proposal documents with evidence discipline and atomic PRODUCT.md synchronization.
pmai-quick-fix
Applies small fixes in isolated git worktrees with drift scanning and PM-approved merges.
pmai-doc-writing
Generates product direction memos, positioning statements, and introduction documents as Markdown deliverables.
pmai-humanize
Rewrites Chinese documents to remove AI-style phrasing, jargon, and verbosity.
pmai-build-close
Resumes and completes interrupted build finalization, merge retries, and documentation sync for product modules.
pmai-mockup
Generates and visually audits interactive mockup directions for product design exploration.
pmai-init-project
Initializes product context spine files and routes projects into proposal or design workflows.
pmai-mirror-site
Compares web prototypes against reference sites page-by-page to derive alignment checks and diff reports.
pmai-internal-codebase-audit
Audits existing codebases across seven dimensions to produce a PM-confirmed current-state document.
_shared/term-detector
Detects new business terms and roles from specs and decisions for PRODUCT.md reconciliation.
domain-modeling
Build and maintain project glossaries and architecture decision records during design discussions.
prototype
Build throwaway HTML or UI prototypes to answer design questions.
Frequently Asked Questions About YYG501
FAQPage SchemaWhat tasks can I accomplish using YYG501's PMAI skills?▼
PMAI covers the full product lifecycle: drafting product proposals and PRDs, designing modules and interactions, generating mockups, building features in isolated worktrees, applying quick fixes, syncing specs with Feishu docs, recording confirmed decisions, and auditing existing codebases before onboarding.
Who is the PMAI skill framework designed for?▼
PMAI targets product managers and PM-led development teams who need structured decision closure before writing specs. It suits PMs managing requirements, terminology, and review cycles in Feishu, plus engineers executing PM-approved builds with independent verification before merging to mainline.
How does PMAI handle Feishu (Lark) document collaboration?▼
pmai-publish-to-lark pushes local Markdown to Feishu while preserving images, comments, and formatting. pmai-lark-review recovers PM edits and unresolved comments, routing them by product impact. pmai-sync-from-lark performs mechanical one-way sync only when the PM explicitly defers to Feishu content.
What are the prerequisites for adopting PMAI on an existing codebase?▼
Run pmai-init-project, which detects existing source code and triggers an internal codebase audit covering tech stack, architecture, conventions, tests, and secret scanning. Code serves only as current-state evidence; projects with a verified equivalent product baseline can proceed directly to design.
How does PMAI ensure build quality before merging?▼
pmai-build dispatches a native-child builder in an isolated worktree after PM confirmation. The PM reviews results over multiple rounds, and only after explicit approval does an independent Verifier/Judge perform final checks before landing to mainline and synchronizing documentation.