Agent skill

Technology Mapping

by AlphaMao1 in 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」。

No licenceAuto-check passed

Install Technology Mapping

skills CLI
$ npx skills add AlphaMao1/AlphaMao_Skills --skill technology-mapping -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AlphaMao1/AlphaMao_Skills technology-mapping --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
technology-mapping
GitHub stars
130
Token cost
~2.1k tokens
SKILL.md length
583 words
Files
17 (incl. scripts, references)
Skills in repo
11
Repo updated
First seen
Licence
None found

At a glance

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」。

  • Works in 6 steps: 领域适应 & 策略生成 🧠 → 全球目标发现 (Target Discovery) → 逆向溯源 (Upstream Tracing) → …
  • SKILL.md covers Overview, When to Use, 输入与输出 and 数据 Schema, plus 4 more sections
  • Runs Python scripts from its folder; calls winget and pip

What it does

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`).

Example prompts

  • “/technology-mapping”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 领域适应 & 策略生成 🧠
  2. 全球目标发现 (Target Discovery)
  3. 逆向溯源 (Upstream Tracing)
  4. 强力剪枝 & 正向补漏 (Pruning & Forward Fill)
  5. 可视化输出 (Graphviz SVG)
  6. 质量验证 & 报告生成 📊

What it can do on your machine

Read from SKILL.md and the folder at commit 27ffcc6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • winget
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.3k

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.

Safety

Auto-check passed

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 583 words (~2,076 tokens).

name
technology-mapping
version
2.1.1

Read the full SKILL.md on GitHub

Files

SKILL.md and 16 other files (scripts, references) in skills/technology-mapping of AlphaMao1/AlphaMao_Skills.

  • SKILL.md
  • .gitignore
  • CHANGELOG.md
  • README.md
  • examples/02_neuromorphic_computing/NeuromorphicComputing_TechMap_v4.svg
  • examples/02_neuromorphic_computing/generate_techmap_v4.py
  • examples/03_magnetic_confinement_fusion/MCF_TechMap.svg
  • examples/03_magnetic_confinement_fusion/MCF_TechMap_Report.md
  • examples/03_magnetic_confinement_fusion/generate_techmap.py
  • examples/04_brain_computer_interface/BCI_TechMap.svg
  • examples/04_brain_computer_interface/generate_techmap.py
  • references/connection_strength.md
  • references/data_schema.md
  • references/vc_framework.md
  • references/visual_spec.md
  • scripts
  • … and 1 more

Open the folder on GitHubat commit 27ffcc6

Compare with similar skills

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.

Technology Mapping compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Technology Mapping this skillAlphaMao1/AlphaMao_Skills130—~2.1kAutomated safety check: PassNone
Token Mapnexu-io/open-design100k—~1.4kAutomated safety check: PassApache-2.0
Maps Geographyasgeirtj/system_prompts_leaks69k—~717Automated safety check: PassCC0-1.0
Feature Maponyx-dot-app/onyx32k—~459Automated safety check: PassCustom licence
Source Mapsthedaviddias/Front-End-Checklist74k—~445Automated safety check: PassMIT
Customer Journey Mapphuryn/pm-skills27k—~816Automated safety check: PassMIT

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Questions about Technology Mapping

What does Technology Mapping do?

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.

How do I install Technology Mapping in Claude Code?

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.

How do I install Technology Mapping in Codex?

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.

Can I use Technology Mapping in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Technology Mapping need to run?

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.

Does Technology Mapping access the network?

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.

Is Technology Mapping safe to install?

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.

What licence does Technology Mapping use?

No licence was found for Technology Mapping or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Technology Mapping use?

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.

What are the alternatives to Technology Mapping?

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.

Who maintains Technology Mapping?

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.