recorded-voice-insight-extraction-webapp
A generative AI tool to boost productivity by transcribing and analyzing audio or video recordings containing speech
Install / Use
npx skills add aws-samples/recorded-voice-insight-extraction-webappInstalls into whichever agent you are using.
Amazon Q Rules
Amazon Q Developer rules
Quality Score
Category
OtherSupported Platforms
Our assessment of recorded-voice-insight-extraction-webapp
recorded-voice-insight-extraction-webapp scores 61/100 on our quality scale, 289th of 301 Other skills we index.
Its Amazon Q Rules is 2.6 KB long, well organised into 9 sections with 2 code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-10-20 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
recorded-voice-insight-extraction-webapp compared with similar skills
All 4 of these similar skills score higher than recorded-voice-insight-extraction-webapp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| recorded-voice-insight-extraction-webapp (this skill)by aws-samples | 61 | 0 | — | Amazon Q Rules |
| taste-skillby Leonxlnx | 100 | 110.8k | 1d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 50.2k | today | MCP Server |
| designby nextlevelbuilder | 100 | 143.4k | 5d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 143.4k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install recorded-voice-insight-extraction-webapp?
- Run
npx skills add aws-samples/recorded-voice-insight-extraction-webapp. The install tabs above show the steps for each supported agent. - Which AI agents does recorded-voice-insight-extraction-webapp work with?
- It is written for Amazon Q, as a Amazon Q Rules file. Other agents that read the same format can often use it too.
- Is recorded-voice-insight-extraction-webapp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 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 recorded-voice-insight-extraction-webapp still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubAI Coding Companion Instructions
- Use this information to find information and write better code.
Code Structure & Quality
- Modular Design: Generate code in distinct, logical modules with clear responsibilities for improved organization and collaboration. However, don't over-abstract the code. Human readability is as important as extensibility.
- Meaningful Naming: Use descriptive, domain-specific names for variables, functions, and classes to enhance readability.
- Error Handling: Implement comprehensive error handling with informative messages and recovery strategies.
Tests
- Information on how automated tests are implemented in the project can be found HERE
- Unit tests should run independently and mock all dependencies
- Development should follow a Test Driven Development (TDD) process where the test is written first and run for failure, then the logic is written and the test is observed to pass.
Documentation
README.mdfiles exist in many directories that explain how to work with the files in the directory.- When adding / updating documentation keep the documentation concise and to the point.
- Don't add documentation or commentary on industry best practices or documentation that does not directly relate to the solution.
Unit Tests
- When code has been completed, run unit tests
- Run tests using this command from the top directory of the repository:
make test
Steps to Develop Code
- When developing code, try to do exactly what is asked
- Do not introduce new requirements or infer features or functionality
- Follow a Test Driven Development (TDD) process when writing code. First write a unit test, watch it fail. Then write the test logic and watch it pass.
- Always add concise documentation when adding new logic. Update existing documentation to when changing logic.
- After developing code, run
Format & Lint, and then runUnit Tests. Ensure these processes pass. - If unit tests or lint do not pass, then fix them, and rerun until they do pass.
Code Conventions
- Always use explicit strong types where possible in method signatures and return types.
- Prefer to use named parameters over positional parameters when making method calls.
- Do not create
__init__.pyfiles unless explicitly asked to do so. - Always prefer classes with
@staticmethod's over plain methods. - This project uses Google Docstring Style
- Add this header at the top of each file:
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
