每个推荐都保留与其仓库、审计和安装路径的明确关联。
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
an edge-real-time anchor-free object detector with decent performance
Project Mentor is a standalone agent skill that turns real coding projects into evidence-grounded, just-in-time learning for Codex and compatible hosts.
SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across Windows, macOS, and Linux-capable environments on relevant product, software, startup, app, and AI-tool directories with audience-value screening, SEO quality gates, action-level authorization, privacy controls, and evidence-backed records. Use when listing quality, referral value, governance, durability, and auditable compliance matter more than submission volume. Do not use for bulk backlink creation, ranking manipulation, guest posts, community promotion, mass email, paid link acquisition, or automatic submission to low-quality directories.
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
每个推荐都保留与其仓库、审计和安装路径的明确关联。
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
an edge-real-time anchor-free object detector with decent performance
Project Mentor is a standalone agent skill that turns real coding projects into evidence-grounded, just-in-time learning for Codex and compatible hosts.
SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across Windows, macOS, and Linux-capable environments on relevant product, software, startup, app, and AI-tool directories with audience-value screening, SEO quality gates, action-level authorization, privacy controls, and evidence-backed records. Use when listing quality, referral value, governance, durability, and auditable compliance matter more than submission volume. Do not use for bulk backlink creation, ranking manipulation, guest posts, community promotion, mass email, paid link acquisition, or automatic submission to low-quality directories.
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
每个推荐都保留与其仓库、审计和安装路径的明确关联。
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
an edge-real-time anchor-free object detector with decent performance
Project Mentor is a standalone agent skill that turns real coding projects into evidence-grounded, just-in-time learning for Codex and compatible hosts.
SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across Windows, macOS, and Linux-capable environments on relevant product, software, startup, app, and AI-tool directories with audience-value screening, SEO quality gates, action-level authorization, privacy controls, and evidence-backed records. Use when listing quality, referral value, governance, durability, and auditable compliance matter more than submission volume. Do not use for bulk backlink creation, ranking manipulation, guest posts, community promotion, mass email, paid link acquisition, or automatic submission to low-quality directories.
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
每个推荐都保留与其仓库、审计和安装路径的明确关联。
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
an edge-real-time anchor-free object detector with decent performance
Project Mentor is a standalone agent skill that turns real coding projects into evidence-grounded, just-in-time learning for Codex and compatible hosts.
SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across Windows, macOS, and Linux-capable environments on relevant product, software, startup, app, and AI-tool directories with audience-value screening, SEO quality gates, action-level authorization, privacy controls, and evidence-backed records. Use when listing quality, referral value, governance, durability, and auditable compliance matter more than submission volume. Do not use for bulk backlink creation, ranking manipulation, guest posts, community promotion, mass email, paid link acquisition, or automatic submission to low-quality directories.
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.