mcpbeat Sign in

Embodiment Description Skill for Claude

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.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
14221
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill embodiment-description

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

11 sections, as written by the author

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 = detaileddetailed (full working example) or outline (sketch)
  • REFERENCE_NUMERAL_PREFIX = 100 — Starting reference numeral for first figure's components

Inputs

  • patent/INVENTION_DISCLOSURE.md — invention decomposition (core/supporting/optional features)
  • patent/CLAIMS.md — drafted claims that the embodiments must support
  • User-provided figures (if any) in any directory
  • 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:

  • Every component mentioned must have a numeral
  • Numeral must appear first in parentheses after the component name: "the processor (102)"
  • Subsequent references: "the processor 102" (no parentheses)
  • 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").

Other skills for the same job

different authors, same section of the catalogue
Protocolsio Integration
by christophacham
×4

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

16k tokens
Tailored Resume Generator
by frostant
×4

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances

3k tokens
Excalidraw Diagram Generator
by github
vendor ×3

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

36k tokens scripts
Expo Dev Client
by openai
vendor ×3

Build and distribute Expo development clients locally or via TestFlight

961 tokens
Executing Plans
by ZhanlinCui
×3

Use when you have a written implementation plan to execute in a separate session with review checkpoints

542 tokens
Anndata
by christophacham
×3

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

16k tokens
Benchling Integration
by christophacham
×3

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

14k tokens
Biopython
by christophacham
×3

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

24k tokens

How to use it

Copy the folder

Take wanshuiyin/embodiment-description from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.