Embodiment Description

Web-side execution adapter

• This skill is workflow guidance for the ChatGPT web-side connector.
• Loading this SKILL.md is only the setup step; it does not mean the task is complete.
• After loading, continue to execute the workflow, constraints, and output format below before answering.
• Mentions of local automation, local file operations, local command execution, or external integrations are descriptive only. Use capabilities available in the current ChatGPT session, or ask the user for needed files/links.
• For literature search, current facts, factual verification, source tracing, numeric values, material properties, legal/medical/financial/current information, or any evidence-heavy claim: use available search/browsing tools first and cite verifiable sources. Do not answer such tasks only from memory.
• Preserve the original workflow and scope unless the user explicitly asks for changes.

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:

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:

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").