Agent skill · Data & Analytics

LEAP

LEAP — 落地执行引擎。内含两条管线:A 分支蒸馏(从 raw data 提取 skill)、 B 分支融合(多 skill 编织为一个)。被 SkillAlchemy 编排器调用。 Use when 编排器判断需要蒸馏或融合时。

agentsopegithub.com/agentsopeGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add agentsope/SkillAlchemy --skill LEAP --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 23
SKILL.md size: 22 KB
Bundled scripts: yes
Version: v1.0
Path: skills/LEAP/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 255
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LEAP · 落地执行引擎 LEAP 不自己做路由,不跟用户交互。上游 Skill-Alchemy 告诉它走哪条分支,它执行。 所有交互节点由 Skill-Alchemy 编排——LEAP 只负责跑管线,跑完返回结果。 ## 分支路由 | 指令 | 分支 | 管线 | |------|------|------| | `distill` / `蒸馏` | **A 分支** | 蒸馏管线 — 从 raw data 提取 target OS,编译为 persona/tool skill | | `fuse` / `融合` | **B 分支** | 融合管线 — method.skill(骨架) × subject.skill(s)(血肉) → output.skill | ## 调用模式 | Mode | Trigger | Behavior | |------|---------|----------| | **Full run** | No special keyword | 完整管线 + Gate,输出 skill 包 | | **Plan only** | `只到 Stage 3` 或 `stop_after_stage: 3` | A 分支 Stage 1-3 only,输出 research_plan.json 后停止 | | **Resume** | `从 Stage 4 继续` 或 `resume_from_stage: 4` | A 分支跳过 1-3,使用已有 research_plan.json,跑 4-7 + Gates | --- # A 分支: 蒸馏管线 ```text Source Intake → Intake Assessment → Research Plan Design → Research Swarm → Gate 1: Merge → Exemplar Discovery → Synthesis (3 agents) → Skill Compilation → Gate 2: Validation ``` Core principle: extract the operating system behind the source, not just the content or answer. --- ## A-Stage 1: Source Intake Input: person, author, method, organization, domain, URL, repo, or local files. Create package workspace at `output/<target-slug>-skill/`: ``` output/<target-slug>-skill/ ├── README.m

What's inside
Steps it walks through
  1. 分支路由
  2. 调用模式
  3. A-Stage 1: Source Intake
  4. A-Stage 2: Intake Assessment
  5. Step 1: Source Modality Analysis
  6. Step 2: Domain Inference
  7. Step 3: Evidence Depth Assessment
  8. Step 4: Skill Mode Determination
  9. A-Stage 3: Research Plan Design
  10. How to select dimensions
  11. Self-Check Before Writing researchplan.json
  12. Search direction must target dilemmas
  13. Plan-Only Mode Stop Point
  14. A-Stage 4: Research Swarm
Ships with 22 files
  • README.md
  • README_EN.md
  • domains/cybersecurity/domain.md
  • domains/energy/domain.md
  • domains/finance/domain.md
  • domains/healthcare/domain.md
  • domains/manufacturing/domain.md
  • domains/mathematics/domain.md
  • domains/media-content-production/domain.md
  • domains/natural-science/domain.md
  • domains/office-white-collar/domain.md
  • domains/persona-os/domain.md
  • domains/robotics/domain.md
  • domains/software-engineering/domain.md
  • references/skill-grammar.md
  • scripts/build_component_index.py
  • scripts/build_corpus.py
  • scripts/download_subtitles.sh
  • scripts/quality_check.py
  • scripts/score_skill.py
  • scripts/srt_to_transcript.py
  • skill.json
Commands it runs
python3 scripts/quality_check.py --skill <package_dir>/SKILL.md
More from SkillAlchemy
All skills →
About this skill
What does the LEAP skill do?

LEAP — 落地执行引擎。内含两条管线:A 分支蒸馏(从 raw data 提取 skill)、 B 分支融合(多 skill 编织为一个)。被 SkillAlchemy 编排器调用。 Use when 编排器判断需要蒸馏或融合时。

How do I install it?

Run `npx skills add agentsope/SkillAlchemy --skill LEAP --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From agentsope/SkillAlchemy, a repository with 255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going