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embodiment-description

Write detailed embodiment descriptions for patent specifications

Install / Use

npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill embodiment-description

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Tags

Our assessment of embodiment-description

embodiment-description scores 90/100 on our quality scale, 371st of 1,999 Development & Engineering skills we index (top 19%).

Its SKILL.md is 6.4 KB long, well organised into 11 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 16,644 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
17/20
Description
12/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 7 days ago, so embodiment-description is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

embodiment-description compared with similar skills

All 4 of these similar skills score higher than embodiment-description; compare them before choosing.

SkillScoreStarsUpdatedFormat
embodiment-description (this skill)by wanshuiyin9016.6k7d agoSKILL.md
ai-job-searchby MadsLorentzen10044.0k5d agoCLAUDE.md
claude-howtoby luongnv8910041.7ktodayCLAUDE.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md
pptxby anthropics100177.9k3d agoSKILL.md

Frequently asked questions

How do I install embodiment-description?
Run npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill embodiment-description. The install tabs above show the steps for each supported agent.
Which AI agents does embodiment-description work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is embodiment-description safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is embodiment-description still maintained?
The repository was last updated 7 days ago, so embodiment-description is actively maintained.

name: embodiment-description description: "Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention." argument-hint: "[claims-path-or-embodiment-details]" allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob

Embodiment Description

Write detailed embodiments for: $ARGUMENTS

Embodiments describe HOW to make and use the invention -- they are the patent equivalent of experiment sections, but describe the invention rather than evaluating it empirically.

Constants

  • MIN_EMBODIMENTS = 1 — At least one complete embodiment required
  • MAX_EMBODIMENTS = 3 — Practical limit; more embodiments strengthen enablement
  • EMBODIMENT_STYLE = detailed — detailed (full working example) or outline (sketch)
  • REFERENCE_NUMERAL_PREFIX = 100 — Starting reference numeral for first figure's components

Inputs

  1. patent/INVENTION_DISCLOSURE.md — invention decomposition (core/supporting/optional features)
  2. patent/CLAIMS.md — drafted claims that the embodiments must support
  3. User-provided figures (if any) in any directory
  4. patent/figures/numeral_index.md if it exists (from /figure-description)

Workflow

Step 1: Plan Embodiments

For each claim category (method, system, etc.), plan at least one embodiment:

| Embodiment | Covers Claims | Type | Key Variations | |-----------|--------------|------|----------------| | 1 | Claims 1, X | Best mode / preferred | [primary implementation] | | 2 | Claims 2, 3 | Alternative | [different parameters/materials] | | 3 | Claims 4, 5 | Additional alternative | [different configuration] |

Step 2: Write Each Embodiment

For each embodiment, write a detailed description following this structure:

Opening paragraph: "In one embodiment, [invention summary with reference to what is being described]."

Component/step-by-step description:

For method embodiments:

  • Describe each step in order
  • Reference figure numerals: "As shown in FIG. 1, at step 202, the processor 102 receives the input data 104..."
  • Include specific parameters, ranges, and conditions
  • Describe what happens at each decision point

For system/apparatus embodiments:

  • Describe each component
  • Reference figure numerals: "Referring to FIG. 1, the system 100 comprises a processor 102, a memory 104, and a communication interface 106..."
  • Describe interconnections between components
  • Describe operation of the system step-by-step

Variations and alternatives:

  • "In some embodiments, the processor 102 may be a GPU, an FPGA, or an ASIC."
  • "In another embodiment, the memory 104 may be replaced with a distributed storage system."
  • "The parameters described above are exemplary; other values within the range [X, Y] are also contemplated."

These variations are critical -- they support broader claim interpretation.

Step 3: Reference Numeral Integration

Ensure consistent reference numeral usage:

  1. Every component mentioned must have a numeral
  2. Numeral must appear first in parentheses after the component name: "the processor (102)"
  3. Subsequent references: "the processor 102" (no parentheses)
  4. Numbering follows figure series: 100-series for FIG. 1, 200-series for FIG. 2

Format:

  • First mention: "the processor (102)"
  • Later in same embodiment: "the processor 102"
  • Cross-figure: "the processor 102 (shown in both FIG. 1 and FIG. 2)"

Step 4: Claim Support Verification

For each claim element, verify it appears in at least one embodiment:

| Claim Element | Embodiment | Reference Numeral | Description Paragraph | |---------------|-----------|-------------------|----------------------| | [element] | [which] | [numeral] | [paragraph reference] |

If any claim element lacks embodiment support, add the necessary description.

Step 5: Software/Algorithm Embodiments (if applicable)

For method/software inventions, include:

  • Pseudocode or algorithmic description (NOT actual code)
  • Flowchart description tied to figures
  • Data structure descriptions
  • Interface specifications

Example:

In one embodiment, the method comprises the following steps:
At step 202, the processor 102 receives input data from the input device 108.
At step 204, the processor 102 extracts feature vectors from the input data using a convolutional neural network.
At step 206, the processor 102 applies the attention mechanism 110 to the feature vectors...

Step 6: Output

Embodiment sections are written to patent/specification/detailed_description.md (or appended to the specification structure).

Each embodiment section should be self-contained but cross-reference other embodiments when describing alternatives.

Key Rules

  • Embodiments must teach a POSITA to make and use the invention without undue experimentation.
  • Include at least one "best mode" embodiment (US requirement).
  • Multiple embodiments strengthen the specification against enablement challenges.
  • Describe the invention, do NOT evaluate it empirically ("The embodiment achieves 95% accuracy" is wrong; "The processor classifies the input data" is correct).
  • CRITICAL — NO experimental data, test results, accuracy percentages, detection rates, precision values, or comparative performance data. These belong in papers, not patents. The embodiment teaches HOW to make and use, not HOW WELL it performs.
  • WRONG: "传感器对直径超过150μm的金属颗粒实现了100%的检测精度,即使在检测限处仍保持94%的高精度。"
  • RIGHT: "当不锈钢颗粒通过间隙传感区域时,谐振频率下降。颗粒直径越大,频率偏移幅度越大。"
  • Do NOT include tables of experimental results, graphs of measurement data, or comparisons with prior art performance.
  • CRITICAL — An embodiment is NOT an experiment. Do NOT describe "repeated experiments", "accuracy evaluation", "precision testing", "calibration experiments", or "comparison with reference methods". An embodiment describes ONE way to make and use the invention — it is a recipe, not a test report.
  • Do NOT copy experimental sections from source papers verbatim. Transform the experimental setup into a manufacturing/operation description.
  • If the source material is a paper, extract ONLY: (1) what was built, (2) what materials/parameters were used, (3) how it operates. Ignore all test methodology, results, and performance metrics.
  • Include specific parameters where possible, but frame them as exemplary, not limiting.
  • Reference numerals must be consistent with the figures.
  • Do NOT use subjective language ("excellent", "surprising", "superior").

Related Skills

View on GitHub
GitHub Stars16.6k
CategoryDevelopment
Updated7d ago
Forks1.4k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions