Panel Review
stacklok/mecatl
Review completed non-trivial code across four independent axes: Spec, Standards, Test adequacy, and installed Domain specialists.
Ensures alignment between user and Claude during feature/spec planning through a structured interview process.
$ npx skills add pskoett/pskoett-ai-skills --skill plan-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pskoett/pskoett-ai-skills plan-interview --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plan-interview .claude/skills/plan-interview && 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 "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .claude/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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/pskoett/pskoett-ai-skills/tree/main/skills/plan-interviewType 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 pskoett/pskoett-ai-skills --skill plan-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pskoett/pskoett-ai-skills plan-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/plan-interview .agents/skills/plan-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .agents/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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 pskoett/pskoett-ai-skills --skill plan-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pskoett/pskoett-ai-skills plan-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/plan-interview .cursor/skills/plan-interview && 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 "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .cursor/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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/pskoett/pskoett-ai-skills.git --path skills/plan-interview--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 pskoett/pskoett-ai-skills --skill plan-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pskoett/pskoett-ai-skills plan-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/plan-interview .gemini/skills/plan-interview && 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 "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .gemini/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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 pskoett/pskoett-ai-skills plan-interviewInstalls 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 pskoett/pskoett-ai-skills --skill plan-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/plan-interview .github/skills/plan-interview && 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 "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .github/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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 pskoett/pskoett-ai-skills --skill plan-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pskoett/pskoett-ai-skills plan-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/plan-interview .opencode/skills/plan-interview && 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 "plan-interview" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/plan-interview into .opencode/skills/plan-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-interview", 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.
plan-interviewEnsures alignment between user and Claude during feature/spec planning through a structured interview process.
Plan Interview is an agent skill from pskoett/pskoett-ai-skills. Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/iterative-plan-refinement-prompts.md`).
It sits in Development, covering Debugging, PRD writing and Refactoring.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5a836dc. 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.
Shell commands in SKILL.md call:
ghnpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh and npx, which can reach the network depending on how they are called.
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.
Plan Interview loads about 3.7k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 150 tokens; SKILL.md has 1,485 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,485 words (~3,662 tokens).
“Fallback using the Agent Skills CLI:”
SKILL.md and 1 other file (references) in skills/plan-interview of pskoett/pskoett-ai-skills.
Open the folder on GitHubat commit 5a836dc
Plan Interview 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 |
|---|---|---|---|---|---|---|
| Plan Interview this skillpskoett/pskoett-ai-skills | 311 | — | ~3.7k | Automated safety check: Pass | None | |
| Panel Reviewstacklok/mecatl | 241 | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | |
| Grilling Ideasopsmill/infrahub | 531 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Code Review Graph Navigatorhandsontable/handsontable | 22k | — | ~939 | Automated safety check: Pass | Custom licence | |
| Andrej Karpathy Skillduolahypercho/andrej-karpathy-skills | 248 | — | ~793 | Automated safety check: Pass | MIT | |
| Verdaccio Change Implementationverdaccio/verdaccio | 18k | — | ~1.3k | Automated safety check: Pass | MIT |
stacklok/mecatl
Review completed non-trivial code across four independent axes: Spec, Standards, Test adequacy, and installed Domain specialists.
opsmill/infrahub
Stress-tests a fuzzy or vague feature idea before any PRD, spec, or ticket is written.
handsontable/handsontable
Queries a pre-built, Tree-sitter-based code graph of the whole monorepo instead of grepping call chains, for exploring, debugging, refactoring or reviewing code.
duolahypercho/andrej-karpathy-skills
Apply Andrej Karpathy-inspired coding-agent guidelines in Codex.
verdaccio/verdaccio
A workflow for implementing a Verdaccio bug fix, feature or refactor: pick the release lines, check existing options, edit the owning layer, test and add a changeset.
Cranot/roam-code
Codebase comprehension via roam-code CLI. An agent skill from Cranot/roam-code.
pskoett/pskoett-ai-skills
Captures learnings, errors, corrections, and feature requests to enable continuous improvement.
pskoett/pskoett-ai-skills
Captures learnings, errors, corrections, and feature requests to enable continuous improvement.
pskoett/pskoett-ai-skills
Active runtime recovery for coding agents: when something breaks mid-task, diagnose the root cause, write a fix, VERIFY by re-running the broken thing, then file a HEAL- entry to .learnings/HEALS.md…
pskoett/pskoett-ai-skills
Validates all interactive skills in this repo against the Agent Skills spec, project conventions, and structural requirements.
pskoett/pskoett-ai-skills
Validates all CI skills in this repo. An agent skill from pskoett/pskoett-ai-skills.
pskoett/pskoett-ai-skills
Revalidate persistent agent knowledge by classifying why it can become stale and how quickly it changes, then retain, revise, externalize, or retire it.
Categories
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Plan Interview is an agent skill from pskoett/pskoett-ai-skills. Ensures alignment between user and Claude during feature/spec planning through a structured interview process.
Plan Interview fits situations like: the user invokes /plan-interview before implementing a new feature; any non-trivial implementation task; : pure research/exploration tasks; simple bug fixes.
Run `npx skills add pskoett/pskoett-ai-skills --skill plan-interview -a claude-code`. Or copy the skill folder (skills/plan-interview in pskoett/pskoett-ai-skills) into .claude/skills/plan-interview in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pskoett/pskoett-ai-skills --skill plan-interview -a codex`. Or copy the skill folder (skills/plan-interview in pskoett/pskoett-ai-skills) into .agents/skills/plan-interview 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 pskoett/pskoett-ai-skills --skill plan-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan-interview, .gemini/skills/plan-interview, .github/skills/plan-interview and .opencode/skills/plan-interview in your project.
Going by SKILL.md and its folder, Plan Interview needs the command-line tools its instructions call (gh and npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use gh and npx, which can reach the network depending on how they are called. 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.
No licence was found for Plan Interview or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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 958 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Plan Interview: Panel Review (stacklok/mecatl, 241 stars), Grilling Ideas (opsmill/infrahub, 531 stars), Code Review Graph Navigator (handsontable/handsontable, 22k stars) and Andrej Karpathy Skill (duolahypercho/andrej-karpathy-skills, 248 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 311 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 5, 2026.
Source: pskoett/pskoett-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.