PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Create a technical spec from a GitHub issue in this repository by applying the local shared write-tech-spec workflow with issue context and output paths.
$ npx skills add Terry-Mao/AICodingFlow --skill create-tech-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Terry-Mao/AICodingFlow create-tech-spec --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/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/create-tech-spec .claude/skills/create-tech-spec && 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 "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .claude/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-specType 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 Terry-Mao/AICodingFlow --skill create-tech-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Terry-Mao/AICodingFlow create-tech-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/create-tech-spec .agents/skills/create-tech-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .agents/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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 Terry-Mao/AICodingFlow --skill create-tech-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Terry-Mao/AICodingFlow create-tech-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/create-tech-spec .cursor/skills/create-tech-spec && 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 "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .cursor/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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/Terry-Mao/AICodingFlow.git --path .github/skills/create-tech-spec--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 Terry-Mao/AICodingFlow --skill create-tech-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Terry-Mao/AICodingFlow create-tech-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/create-tech-spec .gemini/skills/create-tech-spec && 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 "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .gemini/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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 Terry-Mao/AICodingFlow create-tech-specInstalls 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 Terry-Mao/AICodingFlow --skill create-tech-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/create-tech-spec .github/skills/create-tech-spec && 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 "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .github/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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 Terry-Mao/AICodingFlow --skill create-tech-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Terry-Mao/AICodingFlow create-tech-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/create-tech-spec .opencode/skills/create-tech-spec && 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 "create-tech-spec" agent skill from https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/create-tech-spec into .opencode/skills/create-tech-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-tech-spec", 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.
create-tech-specCreate a technical spec from a GitHub issue in this repository by applying the local shared write-tech-spec workflow with issue context and output paths.
Create Tech Spec is an agent skill from Terry-Mao/AICodingFlow. Create a technical spec from a GitHub issue in this repository by applying the local shared write-tech-spec workflow with issue context and output paths. Use when an issue should be turned into a tech spec artifact stored under specs/issue-<issue-number/tech.md and the agent should prepare file changes only, without creating commits or pull requests itself.
Its SKILL.md is about 1.2k 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 Development, covering Pull requests. It works with GitHub. The repository describes itself as: Setup a AI Coding Flow. The licence is MIT.
11 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 7703e16. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Create Tech Spec loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 677 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.
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.
The full file from Terry-Mao/AICodingFlow at commit 7703e16, republished under its MIT licence (© Terry-Mao). 677 words, ~1,249 tokens.
.claude/skills/create-tech-spec/SKILL.md (or your agent's skills folder).Create a tech spec from a GitHub issue for this repository.
This skill is a wrapper around the local shared tech-spec workflow:
.agents/skills/write-tech-spec/SKILL.mdUse that shared local skill as the base behavior and structure unless this wrapper overrides it. Keep the same emphasis on grounding the plan in current code, documenting relevant files and data flow, explaining tradeoffs, and defining validation.
The differences are:
specs/issue-<issue-number>/tech.mdissue_context.json, while local wrappers should provide a path in a system
temporary directoryissue_comments.txtpr-metadata.jsonExpect issue details in the issue context file named by the prompt, including
the issue number, title, description, labels, assignees, triggering comment
when present, exact product_spec path, and exact tech_spec path. If the
prompt does not provide an explicit path, use issue_context.json in the
current workflow worktree.
When available, the product spec at the product_spec path from issue_context.json should be treated as the primary input for understanding the intended behavior. The tech spec translates that product intent into an implementation approach.
write-tech-spec guidance and follow its structure and writing standards unless this wrapper says otherwise.product_spec path first to understand the intended
behavior. If a prompt-provided issue comments path exists, review it for
clarifications, prior decisions, and design nuance that should influence the
tech plan.tech_spec path from issue_context.json.(#N), Refs #N) in commit messages. The issue is already linked in the PR.pr-metadata.json in the current workflow worktree. The file must contain a
JSON object with the fields branch_name, pr_title, and pr_summary.
The pr_summary should summarize the resulting spec changes, validation,
and any reviewer-relevant assumptions or open questions. For spec-only PRs,
include a non-closing reference to the source issue such as
Refs #<issue-number> rather than closing keywords like Closes or
Fixes.branch_name, pr_title, and pr_summary.© Terry-Mao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/create-tech-spec of Terry-Mao/AICodingFlow.
Open the folder on GitHubat commit 7703e16
Create Tech Spec 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 |
|---|---|---|---|---|---|---|
| Create Tech Spec this skillTerry-Mao/AICodingFlow | 167 | — | ~1.2k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Check PRonyx-dot-app/onyx | 32k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Contributor-First PR MergeHKUDS/OpenHarness | 16k | 1 repos | ~847 | Automated safety check: Pass | MIT | |
| Create Pull Requestcline/cline | 70k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Pull Request Title and Body Writeropeninterpreter/openinterpreter | 69k | 2 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
cline/cline
Opens a GitHub pull request from your current branch with the gh CLI, after reviewing the commits and diff and gathering the details the PR needs.
openinterpreter/openinterpreter
Rewrites the title and body of one or more pull requests with gh, leading with why the change was made, then what changed, and describing only the net result.
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
Terry-Mao/AICodingFlow
Generate a local static interactive D3 walkthrough of a pull request.
Terry-Mao/AICodingFlow
Improve repo-local PR review companion skills from human feedback on bot reviews.
Terry-Mao/AICodingFlow
Implement a GitHub issue in this repository by applying the local shared implement-specs workflow with repository-specific issue, spec-context, and summary-file handling.
Terry-Mao/AICodingFlow
Implement an approved feature from the repository's product and tech specs, keeping specs and code aligned in the same change as implementation evolves.
Terry-Mao/AICodingFlow
Review a GitHub pull request from pinned prdescription.txt, prdiff.txt, and optional speccontext.md snapshots, then write and validate review.json.
Terry-Mao/AICodingFlow
Learn repo-local duplicate issue guidance from recent maintainer duplicate closures and propose updates to the dedupe companion skill.
Works with
Categories
Create a technical spec from a GitHub issue in this repository by applying the local shared write-tech-spec workflow with issue context and output paths. Create Tech Spec is an agent skill from Terry-Mao/AICodingFlow. Create a technical spec from a GitHub issue in this repository by applying the local shared write-tech-spec workflow with issue context and output paths.
Create Tech Spec fits situations like: without creating commits; pull requests itself.
Run `npx skills add Terry-Mao/AICodingFlow --skill create-tech-spec -a claude-code`. Or copy the skill folder (.github/skills/create-tech-spec in Terry-Mao/AICodingFlow) into .claude/skills/create-tech-spec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Terry-Mao/AICodingFlow --skill create-tech-spec -a codex`. Or copy the skill folder (.github/skills/create-tech-spec in Terry-Mao/AICodingFlow) into .agents/skills/create-tech-spec in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Terry-Mao/AICodingFlow --skill create-tech-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-tech-spec, .gemini/skills/create-tech-spec, .github/skills/create-tech-spec and .opencode/skills/create-tech-spec in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Tech Spec is instructions for the agent only.
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.
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.
Create Tech Spec is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Create Tech Spec: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Create Pull Request (cline/cline, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Terry-Mao (a GitHub user) maintains it in Terry-Mao/AICodingFlow, which has 167 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 3, 2026.
Source: Terry-Mao/AICodingFlow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.