mindfold-ai

@mindfold-ai source repo

23 skills
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22 hours ago last updated

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Mem Recall · mindfold-ai
Search and recall past AI conversations across Claude Code, Codex, Grok, Pi and ZCode (OpenCode reader temporarily unavailable) via the `trellis mem` CLI. Use whenever the user asks to remember, find, or look up anything discussed in previous AI sessions — across platforms, projects, or time. Triggers on phrases like "我之前跟 Claude/Codex 讨论过 X", "上次怎么处理 Y", "翻一下历史对话", "我们当时怎么决定 X 的", "为什么我们选了 X 而不是 Y", "find what I said about Z", "what did I discuss last week", "the rationale for choosing X", "find the brainstorm where we picked Z over alternatives". Use even when the user doesn't say "history" or "recall" — any reference to past AI-conversation content should trigger this skill. The tool reads sessions directly from each platform's local storage; nothing is uploaded.

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Trellis Spec Bootstarp · mindfold-ai bundle
Bootstrap project-specific Trellis coding specs with a platform-neutral single-agent workflow. Use when creating or refreshing .trellis/spec guidelines, analyzing a codebase with GitNexus, ABCoder, or source inspection, decomposing package/layer spec work, and writing real codebase-backed spec docs without placeholder text.

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Frontend Fullchain Optimization · mindfold-ai
Frontend full-chain performance optimization guide based on Web Vitals metrics. Provides metric thresholds, diagnostic methods, and optimization strategies for LCP, FCP, INP, CLS, TTFB, TBT. Use when optimizing frontend performance, analyzing Web Vitals, reducing page load time, fixing layout shifts, improving interaction responsiveness, or reviewing frontend code for performance issues.

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Xhs Content · mindfold-ai bundle
XiaoHongShu (小红书) content creation tool. Collects trending XHS notes by keyword, generates a topic research report, then produces XHS-style note drafts. Use when the user wants to: (1) research what's trending on XiaoHongShu/小红书 for a topic, (2) generate XHS note drafts, (3) find XHS content inspiration, or mentions "小红书", "XHS", "xiaohongshu", "xhs content", "xhs note".

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Trellis Before Dev · mindfold-ai
Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.

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Trellis Break Loop · mindfold-ai
Deep bug analysis to break the fix-forget-repeat cycle. Analyzes root cause category, why fixes failed, prevention mechanisms, and captures knowledge into specs. Use after fixing a bug to prevent the same class of bugs.

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Trellis Update Spec · mindfold-ai
Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.

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Trellis Continue · mindfold-ai
Resume work on the current task. Loads the workflow Phase Index, figures out which phase/step to pick up at, then pulls the step-level detail via get_context.py --mode phase. Use when coming back to an in-progress task and you need to know what to do next.

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Trellis Spec Bootstrap · mindfold-ai bundle
Bootstrap project-specific Trellis coding specs with a platform-neutral single-agent workflow. Use when creating or refreshing .trellis/spec guidelines, analyzing a codebase with GitNexus, ABCoder, or source inspection, decomposing package/layer spec work, and writing real codebase-backed spec docs without placeholder text.

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Trellis Session Insight · mindfold-ai bundle
Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.

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Gitnexus CLI · mindfold-ai
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

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Gitnexus Guide · mindfold-ai
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

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Gitnexus Debugging · mindfold-ai
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"

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Gitnexus Exploring · mindfold-ai
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

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Gitnexus Refactoring · mindfold-ai
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

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Gitnexus Impact Analysis · mindfold-ai
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"

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Trellis Bootstrap · mindfold-ai bundle
Initialize Trellis AI workflow system in a project. Use when user mentions "Trellis", "初始化 Trellis", "setup Trellis", "install Trellis", or wants to add AI-assisted development workflow to their project. This is a one-time setup skill.

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Trellis Meta · mindfold-ai bundle
Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow.

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Contribute · mindfold-ai
Guide for contributing to Trellis documentation and marketplace. Covers adding spec templates, marketplace skills, documentation pages, and submitting PRs across both the Trellis main repo and docs repo. Use when someone wants to add a new spec template, add a new skill to the marketplace, add or update documentation pages, or submit a PR to this project.

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Trellis Check · mindfold-ai
Comprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks. Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions.

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Python Design · mindfold-ai
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.

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Create Manifest · mindfold-ai
Create a Trellis migration manifest and matching docs-site changelogs for a target release by analyzing commits since the previous release. Use when preparing a patch, beta, rc, or minor release manifest.

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Trellis Brainstorm · mindfold-ai
Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.

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23 published skills