Fluent Progress
m98/fluent
Show the learner's language learning progress, statistics, mastery levels, streak, and achievements.
Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance.
Install Speak Prod Checklist
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-prod-checklist --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .claude/skills/speak-prod-checklist && 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 "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .claude/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklistType 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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-prod-checklist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .agents/skills/speak-prod-checklist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .agents/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-prod-checklist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .cursor/skills/speak-prod-checklist && 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 "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .cursor/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/speak-prod-checklist--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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-prod-checklist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .gemini/skills/speak-prod-checklist && 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 "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .gemini/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace speak-prod-checklistInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .github/skills/speak-prod-checklist && 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 "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .github/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace speak-prod-checklist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/speak-prod-checklist .opencode/skills/speak-prod-checklist && 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 "speak-prod-checklist" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/speak-prod-checklist into .opencode/skills/speak-prod-checklist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speak-prod-checklist", 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
speak-prod-checklist- GitHub stars
- 2.8k
- Token cost
- ~836 tokens
- SKILL.md length
- 255 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance.
- Implementing prod checklist features
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
- Calls curl, jq and ffmpeg; reaches api.speak.com; needs SPEAK_API_KEY
- Troubleshooting Speak language learning integration issues
What it does
Speak Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. Use when implementing prod checklist features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak prod checklist", "speak prod checklist".
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code
It sits in Education, covering Language learning. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Implementing prod checklist features
- Troubleshooting Speak language learning integration issues
- With phrases like speak prod checklist
- Speak prod checklist
Example prompts
- “speak prod checklist”
- “/speak-prod-checklist”
Requirements
- A credential in SPEAK_API_KEY
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(npm:*)Bash(curl:*)Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curljqffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.speak.com
Also links to:
speak.complatform.openai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
SPEAK_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Speak Prod Checklist loads about 836 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 255 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
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 255 words, ~836 tokens.
Download SKILL.mdSave it as
.claude/skills/speak-prod-checklist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- speak-prod-checklist
- description
- Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. Use when implementing prod checklist features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak prod checklist", "speak prod checklist".
- allowed-tools
- Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.14.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, speak, api
Speak Production Checklist
Overview
Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance.
Prerequisites
- Completed
speak-install-authsetup - Valid API credentials configured
- ffmpeg installed for audio processing
Instructions
Authentication
- API keys stored in secrets manager
- Key rotation schedule established (90 days)
- Separate keys for dev/staging/production
- Error handling for expired keys
Audio Pipeline
- Audio preprocessor converts to WAV 16kHz mono
- File size validation (< 25MB)
- Duration validation (0.5s - 60s)
- Background noise detection/warning
- Fallback for unsupported audio formats
Rate Limiting & Performance
- Rate-limited client wrapper implemented
- Retry logic with exponential backoff on 429
- Request queue for batch assessments
- Response caching where appropriate
Monitoring & Alerting
- API response time tracking
- Error rate monitoring (target < 1%)
- Rate limit hit tracking
- Assessment score distribution monitoring
- Session completion rate tracking
Compliance
- Student data privacy policy documented
- Audio data retention policy implemented
- COPPA compliance verified (if applicable)
- FERPA compliance verified (if educational)
- GDPR data processing agreement (if EU users)
Verification Script
#!/bin/bash
set -euo pipefail
echo "Speak Production Readiness"
curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" \
https://api.speak.com/v1/health | jq '.status'
echo " Auth: PASS"
ffmpeg -version > /dev/null 2>&1 && echo " ffmpeg: PASS" || echo " ffmpeg: FAIL"
echo "Checks complete."Output
- Checklist implementation complete
- Speak API integration verified
- Production-ready patterns applied
Error Handling
| Error | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Invalid API key | Verify SPEAK_API_KEY environment variable |
| 429 Rate Limited | Too many requests | Wait Retry-After seconds, use backoff |
| Audio format error | Wrong codec/sample rate | Convert to WAV 16kHz mono with ffmpeg |
| Session expired | Timeout after 30 min | Start a new conversation session |
Resources
Next Steps
See speak-prod-checklist for production readiness.
Examples
Basic: Apply prod checklist with default configuration for a standard Speak integration.
Advanced: Customize for production with error recovery, monitoring, and team-specific requirements.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/speak-prod-checklist of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/implementation-guide.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Speak Prod Checklist 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 |
|---|---|---|---|---|---|---|
| Speak Prod Checklist this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~836 | Automated safety check: Pass | MIT | |
| Fluent Progressm98/fluent | 421 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Fluent Sm2 Calculatorm98/fluent | 421 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Duolingo Playpockebot/openpocket | 847 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Study Companion Enmingchen666/Reviva | 244 | — | ~5.7k | Automated safety check: Pass | None | |
| Fluent Learnm98/fluent | 421 | — | ~1.8k | Automated safety check: Notes | MIT |
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Questions about Speak Prod Checklist
What does Speak Prod Checklist do?
Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. Speak Prod Checklist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance.
When should I use Speak Prod Checklist?
Speak Prod Checklist fits situations like: implementing prod checklist features; troubleshooting Speak language learning integration issues; with phrases like speak prod checklist; speak prod checklist.
How do I install Speak Prod Checklist in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a claude-code`. Or copy the skill folder (skills/.curated/speak-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/speak-prod-checklist in your project. Claude Code loads it when a task matches its description.
How do I install Speak Prod Checklist in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a codex`. Or copy the skill folder (skills/.curated/speak-prod-checklist in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/speak-prod-checklist in your project. Codex loads it when a task matches its description.
Can I use Speak Prod Checklist 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 jeremylongshore/tons-of-skills-marketplace --skill speak-prod-checklist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/speak-prod-checklist, .gemini/skills/speak-prod-checklist, .github/skills/speak-prod-checklist and .opencode/skills/speak-prod-checklist in your project.
What does Speak Prod Checklist need to run?
Going by SKILL.md and its folder, Speak Prod Checklist needs the command-line tools its instructions call (curl, jq and ffmpeg) and credentials named SPEAK_API_KEY. Our summary lists: A credential in SPEAK_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Speak Prod Checklist access the network?
SKILL.md names 3 domains. In commands or code: api.speak.com; the agent is likely to contact it when it follows the instructions. As links in the text: speak.com and platform.openai.com. This is read from the text; nothing was executed.
Is Speak Prod Checklist 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 Speak Prod Checklist use?
Speak Prod Checklist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Speak Prod Checklist use?
About 836 tokens (SKILL.md is roughly 3.3k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Speak Prod Checklist?
Skills that share tags, products or a category with Speak Prod Checklist: Fluent Progress (m98/fluent, 421 stars), Fluent Sm2 Calculator (m98/fluent, 421 stars), Duolingo Play (pockebot/openpocket, 847 stars) and Study Companion En (mingchen666/Reviva, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Speak Prod Checklist?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.