Token Map
nexu-io/open-design
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
全自动生成前沿技术领域的全景图谱。适用于以技术为核心的赛道(如量子计算、核聚变、AI Agent 等),通过双向挖掘(正向追踪学术源头 + 逆向溯源独角兽创始团队)构建学术→开源→商业化的完整脉络。触发词:「技术mapping」「技术全景图」「technology map」「赛道图谱」。
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/technology-mapping .claude/skills/technology-mapping && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .claude/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mappingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/technology-mapping .agents/skills/technology-mapping && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .agents/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/technology-mapping .cursor/skills/technology-mapping && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .cursor/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AlphaMao1/AlphaMao_Skills.git --path skills/technology-mapping--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/technology-mapping .gemini/skills/technology-mapping && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .gemini/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mappingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/technology-mapping .github/skills/technology-mapping && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .github/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/technology-mapping .opencode/skills/technology-mapping && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "technology-mapping" agent skill from https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/technology-mapping into .opencode/skills/technology-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technology-mapping", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
technology-mapping全自动生成前沿技术领域的全景图谱。适用于以技术为核心的赛道(如量子计算、核聚变、AI Agent 等),通过双向挖掘(正向追踪学术源头 + 逆向溯源独角兽创始团队)构建学术→开源→商业化的完整脉络。触发词:「技术mapping」「技术全景图」「technology map」「赛道图谱」。
Technology Mapping is an agent skill from AlphaMao1/AlphaMao_Skills. 全自动生成前沿技术领域的全景图谱。适用于以技术为核心的赛道(如量子计算、核聚变、AI Agent 等),通过双向挖掘(正向追踪学术源头 + 逆向溯源独角兽创始团队)构建学术→开源→商业化的完整脉络。触发词:「技术mapping」「技术全景图」「technology map」「赛道图谱」。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts and reference files (for example `CHANGELOG.md`, `README.md` and `examples/02_neuromorphic_computing/generate_techmap_v4.py`).
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 27ffcc6. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
wingetpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Technology Mapping loads about 2.1k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 583 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 583 words (~2,076 tokens).
SKILL.md and 16 other files (scripts, references) in skills/technology-mapping of AlphaMao1/AlphaMao_Skills.
Open the folder on GitHubat commit 27ffcc6
Technology Mapping next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Technology Mapping this skillAlphaMao1/AlphaMao_Skills | 130 | — | ~2.1k | Automated safety check: Pass | None | |
| Token Mapnexu-io/open-design | 100k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Maps Geographyasgeirtj/system_prompts_leaks | 69k | — | ~717 | Automated safety check: Pass | CC0-1.0 | |
| Feature Maponyx-dot-app/onyx | 32k | — | ~459 | Automated safety check: Pass | Custom licence | |
| Source Mapsthedaviddias/Front-End-Checklist | 74k | — | ~445 | Automated safety check: Pass | MIT | |
| Customer Journey Mapphuryn/pm-skills | 27k | — | ~816 | Automated safety check: Pass | MIT |
nexu-io/open-design
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
asgeirtj/system_prompts_leaks
Accurate maps from real geo data — use for any map, or whenever geography would make a good graphic for a deliverable
onyx-dot-app/onyx
Use the Onyx feature map (.agents/feature-map/) to learn what a product surface does, the code behind it, and what a change can break.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Provide source maps for production debugging.
phuryn/pm-skills
Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities.
github/awesome-copilot
Generate a map of all files relevant to a task before making changes
AlphaMao1/AlphaMao_Skills
PaiWork-first Serenity (@aleabitoreddit) investment thesis tracking system.
AlphaMao1/AlphaMao_Skills
Initialize or repair a Notion Course Pack workspace, or create a real course from a complete book, course, paper set, transcript set, local files, pasted materials, or authorized Notion pages.
AlphaMao1/AlphaMao_Skills
把 X/Twitter 博主、YouTube 博主、newsletter、播客或类似个人信息源的持续更新转成 progressive-investment-research 研究工作区的可审计增量。适用于:跟踪博主更新、生成每日报告、通过 Chrome 登录态或本地 browser bridge 抓 X、用 yt-dlp 抓 YouTube 字幕、把观点拆成 source…
AlphaMao1/AlphaMao_Skills
市场规模测算工具 (TAM/SAM/SOM)。适用于用户提到「市场规模」「market size」「TAM」「SAM」「SOM」或需要估算目标市场大小时使用。
AlphaMao1/AlphaMao_Skills
按影片版本、用户位置、具体影厅能力、当前场次与证据,推荐值得去的影院、具体影厅和选座区域。用于用户询问一部电影应该看什么厅、IMAX/杜比/CINITY/CGS/ScreenX/4DX/LED 等格式怎么选、附近或全城最佳影院、某场次是否匹配影片版本,以及有无选座截图时坐哪里。
AlphaMao1/AlphaMao_Skills
将新闻、电话会、年报与日线行情和技术面变化送入统一的 Jev 监控流程,检查投资假设、解释证据冲突并按需复核。用于建立持仓监控、研究变化、检查风险或历史回放。
全自动生成前沿技术领域的全景图谱。适用于以技术为核心的赛道(如量子计算、核聚变、AI Agent 等),通过双向挖掘(正向追踪学术源头 + 逆向溯源独角兽创始团队)构建学术→开源→商业化的完整脉络。触发词:「技术mapping」「技术全景图」「technology map」「赛道图谱」。. Technology Mapping is an agent skill from AlphaMao1/AlphaMao_Skills.
Run `npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a claude-code`. Or copy the skill folder (skills/technology-mapping in AlphaMao1/AlphaMao_Skills) into .claude/skills/technology-mapping in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a codex`. Or copy the skill folder (skills/technology-mapping in AlphaMao1/AlphaMao_Skills) into .agents/skills/technology-mapping in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technology-mapping, .gemini/skills/technology-mapping, .github/skills/technology-mapping and .opencode/skills/technology-mapping in your project.
Going by SKILL.md and its folder, Technology Mapping needs Python for the scripts in its folder and the command-line tools its instructions call (winget and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Technology Mapping or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Technology Mapping: Token Map (nexu-io/open-design, 100k stars), Maps Geography (asgeirtj/system_prompts_leaks, 69k stars), Feature Map (onyx-dot-app/onyx, 32k stars) and Source Maps (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AlphaMao1 (a GitHub user) maintains it in AlphaMao1/AlphaMao_Skills, which has 130 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 23, 2026.
Source: AlphaMao1/AlphaMao_Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.