E2E
gronxb/hot-updater
Run end-to-end OTA verification for examples/v0.85.0 with agent-device.
Deliver a feature end to end from user-visible goal to PR-ready branch.
Install Feature Delivery
$ npx skills add DodoraApp/DodoStream --skill feature-delivery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DodoraApp/DodoStream feature-delivery --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/DodoraApp/DodoStream.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/feature-delivery .claude/skills/feature-delivery && 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 "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .claude/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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/DodoraApp/DodoStream/tree/main/.agents/skills/feature-deliveryType 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 DodoraApp/DodoStream --skill feature-delivery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DodoraApp/DodoStream feature-delivery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/feature-delivery .agents/skills/feature-delivery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .agents/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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 DodoraApp/DodoStream --skill feature-delivery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DodoraApp/DodoStream feature-delivery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/feature-delivery .cursor/skills/feature-delivery && 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 "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .cursor/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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/DodoraApp/DodoStream.git --path .agents/skills/feature-delivery--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 DodoraApp/DodoStream --skill feature-delivery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DodoraApp/DodoStream feature-delivery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/feature-delivery .gemini/skills/feature-delivery && 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 "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .gemini/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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 DodoraApp/DodoStream feature-deliveryInstalls 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 DodoraApp/DodoStream --skill feature-delivery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/feature-delivery .github/skills/feature-delivery && 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 "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .github/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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 DodoraApp/DodoStream --skill feature-delivery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DodoraApp/DodoStream feature-delivery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/feature-delivery .opencode/skills/feature-delivery && 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 "feature-delivery" agent skill from https://github.com/DodoraApp/DodoStream/tree/main/.agents/skills/feature-delivery into .opencode/skills/feature-delivery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feature-delivery", 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
feature-delivery- GitHub stars
- 243
- Token cost
- ~354 tokens
- SKILL.md length
- 163 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- GPL-3.0
At a glance
Deliver a feature end to end from user-visible goal to PR-ready branch.
- Works in 8 steps: Write the goal as user-visible behavior. → Slice with slice-development. → Implement with the invariants in… → …
- Implementing a new feature: composes slice-development
- SKILL.md covers Compose, don't duplicate, Pipeline and Completion rule
- Calls pnpm
What it does
Feature Delivery is an agent skill from DodoraApp/DodoStream. Deliver a feature end to end from user-visible goal to PR-ready branch. Use when implementing a new feature: composes slice-development, android-interactive-verification, What's New generation, the verify:ci gate, and pr-handoff.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA. It works with Android and pnpm. The licence is GPL-3.0.
When your agent uses it
- Implementing a new feature: composes slice-development
- Android-interactive-verification
- Whats New generation
- The verify:ci gate
Example prompts
- “/feature-delivery”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Write the goal as user-visible behavior.
- Slice with slice-development.
- Implement with the invariants in AGENTS.md (Restyle tokens, i18n strings, Focusable, LegendList, React Query).
- Prove each slice at the lowest observing ladder level.
- Any UI change requires a live agent-device check of the real surface — Jest alone never closes a UI slice.
- Add a What's New entry if noteworthy per CONTRIBUTING.md's "Noteworthy feature release notes" criteria (pnpm new-whats-new + pnpm…
- Run the final pnpm verify:ci.
- Hand off via the pr-handoff skill.
What it can do on your machine
Read from SKILL.md and the folder at commit 1ef9461. 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
Shell commands in SKILL.md call:
pnpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
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
Feature Delivery loads about 354 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 163 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 DodoraApp/DodoStream at commit 1ef9461, republished under its GPL-3.0 licence (© DodoraApp). 163 words, ~354 tokens.
Download SKILL.mdSave it as
.claude/skills/feature-delivery/SKILL.md (or your agent's skills folder).- name
- feature-delivery
- description
- Deliver a feature end to end from user-visible goal to PR-ready branch. Use when implementing a new feature: composes slice-development, android-interactive-verification, What's New generation, the verify:ci gate, and pr-handoff.
Feature delivery
Compose, don't duplicate
This skill routes; it does not restate content. slice-development owns slicing, RED, checkpoints, and the final evidence structure. android-interactive-verification owns the device boundary. Link to them by skill name.
Pipeline
- Write the goal as user-visible behavior.
- Slice with
slice-development. - Implement with the invariants in
AGENTS.md(Restyle tokens, i18n strings,Focusable, LegendList, React Query). - Prove each slice at the lowest observing ladder level.
- Any UI change requires a live
agent-devicecheck of the real surface — Jest alone never closes a UI slice. - Add a What's New entry if noteworthy per CONTRIBUTING.md's "Noteworthy feature release notes" criteria (
pnpm new-whats-new+pnpm generate-whats-new). - Run the final
pnpm verify:ci. - Hand off via the
pr-handoffskill.
Completion rule
The feature is done only when every slice is checkpointed, the UI is verified on device with recorded evidence, verify:ci is green, and the PR (or approved local-commit delivery, if the user pushes themselves) is out for review.
© DodoraApp, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/feature-delivery of DodoraApp/DodoStream.
Open the folder on GitHubat commit 1ef9461
Compare with similar skills
Feature Delivery 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 |
|---|---|---|---|---|---|---|
| Feature Delivery this skillDodoraApp/DodoStream | 243 | — | ~354 | Automated safety check: Pass | GPL-3.0 | |
| E2Egronxb/hot-updater | 1.8k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Tauri Packagingbkywksj/knowledge-base | 330 | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| DeerFlow Smoke Testbytedance/deer-flow | 83k | — | ~2.5k | Automated safety check: Notes | MIT | |
| E2Ecallstack/react-native-pager-view | 3.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Diagnoseywwynm/EverythingDone | 144 | 18 repos | ~1.8k | Automated safety check: Pass | GPL-3.0 |
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bkywksj/knowledge-base
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DeerFlow Smoke Test
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
E2E
callstack/react-native-pager-view
Agentic end-to-end tests with e2e, the e2e runner. An agent skill from callstack/react-native-pager-view.
Diagnose
ywwynm/EverythingDone
Disciplined diagnosis loop for hard bugs and performance regressions.
SoloPi AI Control
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Drives Android devices through SoloPi's typed command line to record, replay and verify app behavior, with device pools and signed on-device decision models.
More from DodoraApp/DodoStream
Agent Verification
DodoraApp/DodoStream
Select and run concise deterministic DodoStream verification checks.
Bug Reproduction
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Reproduce a reported bug on Android/Android TV and capture evidence.
Issue Triage
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Rank open GitHub issues and propose the next work. An agent skill from DodoraApp/DodoStream.
Slice Development
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Behavior-first planning, verification, debugging, review, and checkpointing for non-trivial DodoStream changes.
PR Handoff
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Prepare the branch, title, and draft PR body for substantive finished work.
Android Interactive Verification
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Session-scoped Android and Android TV fixture, APK, interaction, evidence, and Maestro procedure through the agent-device MCP server.
Related
Categories
Questions about Feature Delivery
What does Feature Delivery do?
Deliver a feature end to end from user-visible goal to PR-ready branch. Feature Delivery is an agent skill from DodoraApp/DodoStream. Deliver a feature end to end from user-visible goal to PR-ready branch.
When should I use Feature Delivery?
Feature Delivery fits situations like: implementing a new feature: composes slice-development; android-interactive-verification; whats New generation; the verify:ci gate.
How do I install Feature Delivery in Claude Code?
Run `npx skills add DodoraApp/DodoStream --skill feature-delivery -a claude-code`. Or copy the skill folder (.agents/skills/feature-delivery in DodoraApp/DodoStream) into .claude/skills/feature-delivery in your project. Claude Code loads it when a task matches its description.
How do I install Feature Delivery in Codex?
Run `npx skills add DodoraApp/DodoStream --skill feature-delivery -a codex`. Or copy the skill folder (.agents/skills/feature-delivery in DodoraApp/DodoStream) into .agents/skills/feature-delivery in your project. Codex loads it when a task matches its description.
Can I use Feature Delivery 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 DodoraApp/DodoStream --skill feature-delivery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-delivery, .gemini/skills/feature-delivery, .github/skills/feature-delivery and .opencode/skills/feature-delivery in your project.
What does Feature Delivery need to run?
Going by SKILL.md and its folder, Feature Delivery needs the command-line tools its instructions call (pnpm).
Does Feature Delivery access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Feature Delivery 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 Feature Delivery use?
Feature Delivery is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Feature Delivery use?
About 354 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Feature Delivery?
Skills that share tags, products or a category with Feature Delivery: E2E (gronxb/hot-updater, 1.8k stars), Tauri Packaging (bkywksj/knowledge-base, 330 stars), DeerFlow Smoke Test (bytedance/deer-flow, 83k stars) and E2E (callstack/react-native-pager-view, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Feature Delivery?
DodoraApp (a GitHub organization) maintains it in DodoraApp/DodoStream, which has 243 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 20, 2026.
Source: DodoraApp/DodoStream on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.