Whisper
AlexAI-MCP/hermes-CCC
OpenAI Whisper for speech recognition and transcription — local inference, multiple model sizes, language detection, and subtitle generation.
Transcribe speech to text using Apple's Speech framework. An agent skill from dpearson2699/swift-ios-skills.
Install Speech Recognition
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dpearson2699/swift-ios-skills speech-recognition --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/speech-recognition .claude/skills/speech-recognition && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .claude/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognitionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dpearson2699/swift-ios-skills speech-recognition --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/speech-recognition .agents/skills/speech-recognition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .agents/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dpearson2699/swift-ios-skills speech-recognition --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/speech-recognition .cursor/skills/speech-recognition && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .cursor/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dpearson2699/swift-ios-skills.git --path skills/speech-recognition--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dpearson2699/swift-ios-skills speech-recognition --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/speech-recognition .gemini/skills/speech-recognition && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .gemini/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dpearson2699/swift-ios-skills speech-recognitionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/speech-recognition .github/skills/speech-recognition && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .github/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dpearson2699/swift-ios-skills speech-recognition --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/speech-recognition .opencode/skills/speech-recognition && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "speech-recognition" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/speech-recognition into .opencode/skills/speech-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speech-recognition", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
speech-recognition- GitHub stars
- 1.2k
- Token cost
- ~3.7k tokens
- SKILL.md length
- 788 words
- Files
- 3 (incl. references)
- Skills in repo
- 86
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Transcribe speech to text using Apple's Speech framework. An agent skill from dpearson2699/swift-ios-skills.
- Works in 7 steps: Choose the module → Check support before creating the session → Pick a documented preset → …
- Implementing live microphone transcription with AVAudioEngine
- SKILL.md covers Contents, SpeechAnalyzer Strategy (iOS…, SFSpeechRecognizer Setup and Authorization, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Speech Recognition is an agent skill from dpearson2699/swift-ios-skills. Transcribe speech to text using Apple's Speech framework. Use when implementing live microphone transcription with AVAudioEngine, recognizing recorded audio files, handling speech and microphone authorization, choosing on-device vs server-backed SFSpeechRecognizer behavior, or adopting SpeechAnalyzer, SpeechTranscriber, DictationTranscriber, AssetInventory, and async result streams on iOS 26+.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/speechanalyzer-patterns.md`).
It sits in Media & Creative, covering Transcription and Speech recognition and synthesis. It works with iOS. The repository describes itself as: Agent Skills for iOS 26+, Swift 6.3, SwiftUI, and modern Apple frameworks.
When your agent uses it
- Implementing live microphone transcription with AVAudioEngine
- Recognizing recorded audio files
- Handling speech and microphone authorization
- Choosing on-device vs server-backed SFSpeechRecognizer behavior
Example prompts
- “/speech-recognition”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Choose the module
- Check support before creating the session
- Pick a documented preset
- Install required assets with AssetInventory.assetInstallationRequest.
- Convert live audio buffers to
- Consume module results from their AsyncSequence in a separate task.
- Finish explicitly with finalizeAndFinish(through:),
What it can do on your machine
Read from SKILL.md and the folder at commit 8d90fd1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are swift).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
sosumi.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Speech Recognition loads about 3.7k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 788 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 788 words (~3,652 tokens).
“Transcribe live and pre-recorded audio to text using Apple's Speech framework. Covers SpeechAnalyzer / SpeechTranscriber (iOS 26+) and SFSpeechRecognizer (iOS 10+) fallback guidance.”
- name
- speech-recognition
Files
SKILL.md and 2 other files (references) in skills/speech-recognition of dpearson2699/swift-ios-skills.
- SKILL.md
- evals/evals.json
- references/speechanalyzer-patterns.md
Open the folder on GitHubat commit 8d90fd1
Compare with similar skills
Speech Recognition next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Speech Recognition this skilldpearson2699/swift-ios-skills | 1.2k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| WhisperAlexAI-MCP/hermes-CCC | 135 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Muapi AI Clippingmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Openai Whisper APICoWork-OS/CoWork-OS | 473 | — | ~411 | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 30k | — | ~745 | Automated safety check: Pass | MIT | |
| Openai Whisper APIopenclaw/openclaw | 392k | 2 repos | ~518 | Automated safety check: Pass | MIT |
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Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.
9Router Speech-to-Text
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Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
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OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
Life Recorder Setup
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Build, install, pair, and operate the Life Recorder iPhone-to-Mac local transcription system.
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Related
Works with
Categories
Questions about Speech Recognition
What does Speech Recognition do?
Transcribe speech to text using Apple's Speech framework. An agent skill from dpearson2699/swift-ios-skills. Speech Recognition is an agent skill from dpearson2699/swift-ios-skills. Transcribe speech to text using Apple's Speech framework.
When should I use Speech Recognition?
Speech Recognition fits situations like: implementing live microphone transcription with AVAudioEngine; recognizing recorded audio files; handling speech and microphone authorization; choosing on-device vs server-backed SFSpeechRecognizer behavior.
How do I install Speech Recognition in Claude Code?
Run `npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a claude-code`. Or copy the skill folder (skills/speech-recognition in dpearson2699/swift-ios-skills) into .claude/skills/speech-recognition in your project. Claude Code loads it when a task matches its description.
How do I install Speech Recognition in Codex?
Run `npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a codex`. Or copy the skill folder (skills/speech-recognition in dpearson2699/swift-ios-skills) into .agents/skills/speech-recognition in your project. Codex loads it when a task matches its description.
Can I use Speech Recognition in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dpearson2699/swift-ios-skills --skill speech-recognition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/speech-recognition, .gemini/skills/speech-recognition, .github/skills/speech-recognition and .opencode/skills/speech-recognition in your project.
What does Speech Recognition need to run?
SKILL.md names no scripts, command-line tools or credentials: Speech Recognition is instructions for the agent only.
Does Speech Recognition access the network?
SKILL.md names 1 domain. As links in the text: sosumi.ai. This is read from the text; nothing was executed.
Is Speech Recognition safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Speech Recognition use?
Speech Recognition has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Speech Recognition use?
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Speech Recognition?
Skills that share tags, products or a category with Speech Recognition: Whisper (AlexAI-MCP/hermes-CCC, 135 stars), Muapi AI Clipping (majiayu000/claude-skill-registry, 666 stars), Openai Whisper API (CoWork-OS/CoWork-OS, 473 stars) and 9Router Speech-to-Text (decolua/9router, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Speech Recognition?
dpearson2699 (a GitHub user) maintains it in dpearson2699/swift-ios-skills, which has 1,175 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on July 31, 2026.
Source: dpearson2699/swift-ios-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.