Interview
alirezarezvani/claude-skills
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…
This skill should be used when a Ralph phase must identify critical user decisions, run a layered grill, persist partial answers, obtain explicit approval, or resume an interrupted phase interview…
$ npx skills add tzachbon/smart-ralph --skill interview-framework -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tzachbon/smart-ralph interview-framework --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/tzachbon/smart-ralph.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .claude/skills/interview-framework && 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 "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .claude/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-frameworkType 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 tzachbon/smart-ralph --skill interview-framework -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tzachbon/smart-ralph interview-framework --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .agents/skills/interview-framework && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .agents/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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 tzachbon/smart-ralph --skill interview-framework -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tzachbon/smart-ralph interview-framework --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .cursor/skills/interview-framework && 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 "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .cursor/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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/tzachbon/smart-ralph.git --path plugins/ralph-specum/skills/interview-framework--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 tzachbon/smart-ralph --skill interview-framework -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tzachbon/smart-ralph interview-framework --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .gemini/skills/interview-framework && 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 "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .gemini/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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 tzachbon/smart-ralph interview-frameworkInstalls 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 tzachbon/smart-ralph --skill interview-framework -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .github/skills/interview-framework && 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 "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .github/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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 tzachbon/smart-ralph --skill interview-framework -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tzachbon/smart-ralph interview-framework --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ralph-specum/skills/interview-framework .opencode/skills/interview-framework && 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 "interview-framework" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/interview-framework into .opencode/skills/interview-framework/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview-framework", 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.
interview-frameworkThis skill should be used when a Ralph phase must identify critical user decisions, run a layered grill, persist partial answers, obtain explicit approval, or resume an interrupted phase interview…
Interview Framework is an agent skill from tzachbon/smart-ralph. This skill should be used when a Ralph phase must identify critical user decisions, run a layered grill, persist partial answers, obtain explicit approval, or resume an interrupted phase interview before delegating artifact work.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/algorithm.md`, `references/domain-modeling.md` and `references/examples.md`).
The repository describes itself as: Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ac7251a. 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:
goFrom 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.
Interview Framework loads about 2.2k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 1,108 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 tzachbon/smart-ralph at commit ac7251a, republished under its MIT licence (© tzachbon). 1,108 words, ~2,222 tokens.
.claude/skills/interview-framework/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Treat every normal-mode interview governed by this framework as a grill. Run the approval-gated interview for start, triage, research, requirements, design, and tasks. Treat this skill and its references as the single source of truth for interview behavior. Phase commands supply exploration territory and artifact context; they do not redefine the algorithm.
Quick mode bypasses interview questions only. It still requires current discovery, contract loading, bypass receipts, delegation checks, and artifact-agent load parity.
Before each new or resumed interview:
${CLAUDE_PLUGIN_ROOT}/references/normal-mode-gates.md.SKILL.md, references/algorithm.md, references/domain-modeling.md, every selected skill body, and every selected skill resource required for the current work. Load references/examples.md only when an example is needed.phase_gate.py record-skill-load.Block when this skill or the core algorithm reference cannot be loaded. Warn and continue when a domain skill fails to load. Put unresolved material conflicts in the first critical frontier.
Grill only a decision that meets both conditions:
Inspect facts with read-only tools or an Explore agent. Exclude setup choices, administrative preferences, status questions, facts the repository can answer, and low-impact polish. Treat a prescribed task action in a loaded domain skill as reference material during preload; do not execute it until the phase has approval and delegation begins.
Before building the tree, read the goal, state, .progress.md, prior phase artifacts, the configured .index/index.md, and the applicable CONTEXT.md reached through CONTEXT-MAP.md when present. Open only relevant indexed entries. Inspect code, configuration, tests, and existing specs for every discoverable fact. Run independent read-only lookups in parallel; a pending fact blocks only the nodes that depend on it.
Build a design tree from the phase territory. Each node contains a stable decision ID, dependencies, known evidence, viable options, recommendation, tradeoffs, and material consequences. Track nodes as open, investigating, resolved, or explicitly out of scope. The frontier contains every open critical decision whose prerequisites are resolved.
Ask the whole currently unblocked critical frontier. Use as many AskUserQuestion calls as needed, with at most four questions per call. Batch independent decisions together.
Before every AskUserQuestion call, call open-frontier for every decision ID in that batch.
After each response:
classify-reply on the whole reply before applying any part of it.record-answer.Ask the whole current frontier in one round. Number each question (Q1, Q2, and so on). Use AskUserQuestion for the round when the tool is available. If AskUserQuestion is unavailable, render the same numbered round in the response and wait for the answers.
Turn an Other response into a specific dependent question in the next frontier. Never use a generic follow-up. Add branches exposed by concrete answers or contradictions, and remove branches that evidence resolves.
Each question must:
(Recommended) unless the options are symmetric.Give a recommended answer with a short rationale. Provide 2-4 meaningful options. Require that the design-tree frontier is empty before final confirmation. Continue only when the user confirms the resulting shared understanding through the explicit approval choice.
See references/algorithm.md for the complete state machine.
Apply references/domain-modeling.md during every grill. Challenge terms that conflict with the applicable CONTEXT.md, replace fuzzy or overloaded words with a proposed canonical term, and use boundary or edge-case scenarios to test the model. Record resolved domain terms promptly. Keep implementation details out of CONTEXT.md. This interview framework does not create ADRs; design.md remains the specification's technical-decision record.
Classify the entire reply before applying it.
Apply text that answers one or more active decisions. Persist answered decisions and keep the rest open. A substantive answer can include control words without losing its decision content.
These replies do not answer any active decision by themselves:
apply the changescontinueproceedgo aheadKeep the active frontier open and ask it again. Do not infer defaults or approval from a control-only reply.
Treat bare skip, after an active question, as authorization to default the remaining phase interview. Call skip with explicit defaults and assumptions; this moves to awaiting_confirmation, not a delegable terminal state. Continue to final approval and confirm decision ID skip-confirmation. A sentence that contains skip plus substantive decision text is a substantive reply, not bare skip.
When the critical frontier is exhausted or skipped:
await-confirmation with a stable confirmation decision ID and the proposed approach.AskUserQuestion:Approve and delegate (Recommended)Revise decisionsCancelconfirm --source approve-and-delegate, run check-delegation, and delegate immediately in the same response. Do not ask another question or stop between approval and delegation.When the user requests revisions, call one revise transition with every affected --decision-id before updating answers. Recompute any dependent frontier, return to final approval using the same confirmation ID, and keep the same interview record until the brief is approved again.
Artifact review is a separate approval gate after delegation. apply the changes during artifact review means revise the artifact using the supplied feedback, redisplay the walkthrough, and remain in artifact approval. It never approves the artifact or advances the phase.
Use phase_gate.py transitions after each state change. Append every completed frontier round to .progress.md without treating that Markdown as enforcement state:
### <Phase> Grill - Round <N>
- Facts resolved: <fact and evidence>
- Decisions: <decision-id> -> <answer>
- Out of scope: <explicitly excluded branch or none>
- Domain language: <canonical term and definition or none>
- Frontier after round: <remaining unblocked decisions or empty>For triage, store enforcement state in the epic .epic-state.json. For spec phases, use .ralph-state.json.
references/algorithm.md - Critical-frontier state machine and reply handling.references/domain-modeling.md - Required context discovery, language challenges, scenarios, and glossary updates.references/examples.md - Optional examples for frontier, partial-answer, skip, approval, and artifact revision cases.© tzachbon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/ralph-specum/skills/interview-framework of tzachbon/smart-ralph.
Open the folder on GitHubat commit ac7251a
Interview Framework 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 |
|---|---|---|---|---|---|---|
| Interview Framework this skilltzachbon/smart-ralph | 558 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Interviewalirezarezvani/claude-skills | 28k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Interviewcodewhale-hq/Codewhale | 41k | — | ~232 | Automated safety check: Pass | MIT | |
| RalphYeachan-Heo/oh-my-claudecode | 40k | — | ~7.5k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 103k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Interview Coachsickn33/agentic-awesome-skills | 47k | 2 repos | ~751 | Automated safety check: Pass | MIT |
alirezarezvani/claude-skills
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…
codewhale-hq/Codewhale
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec.
Yeachan-Heo/oh-my-claudecode
Self-referential loop until task completion with configurable verification reviewer
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
sickn33/agentic-awesome-skills
Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation.
Q00/ouroboros
Socratic interview to crystallize vague requirements. An agent skill from Q00/ouroboros.
tzachbon/smart-ralph
This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs…
tzachbon/smart-ralph
This skill should be used when the user asks to "verify a fix", "reproduce failure", "diagnose issue", "check BEFORE/AFTER state", "VF task", "reality check", "check test quality", "mock-only…
tzachbon/smart-ralph
This skill should be used when the user asks to "build a feature", "create a spec", "start spec-driven development", "run research phase", "generate requirements", "create design", "plan tasks"…
tzachbon/smart-ralph
This skill should be used only when the user explicitly asks to use $ralph-specum-design, or explicitly asks Ralph Specum in Codex to run the design phase.
tzachbon/smart-ralph
This skill should be used only when the user explicitly asks to use $ralph-specum-tasks, or explicitly asks Ralph Specum in Codex to run the tasks phase.
tzachbon/smart-ralph
This skill should be used when the user asks about "ralph arguments", "quick mode", "commit spec", "max iterations", "ralph state file", "prototype overlay", "execution modes", "ralph loop"…
This skill should be used when a Ralph phase must identify critical user decisions, run a layered grill, persist partial answers, obtain explicit approval, or resume an interrupted phase interview…. Interview Framework is an agent skill from tzachbon/smart-ralph. This skill should be used when a Ralph phase must identify critical user decisions, run a layered grill, persist partial answers, obtain explicit approval, or resume an interrupted phase interview before delegating artifact work.
Run `npx skills add tzachbon/smart-ralph --skill interview-framework -a claude-code`. Or copy the skill folder (plugins/ralph-specum/skills/interview-framework in tzachbon/smart-ralph) into .claude/skills/interview-framework in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tzachbon/smart-ralph --skill interview-framework -a codex`. Or copy the skill folder (plugins/ralph-specum/skills/interview-framework in tzachbon/smart-ralph) into .agents/skills/interview-framework 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 tzachbon/smart-ralph --skill interview-framework -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interview-framework, .gemini/skills/interview-framework, .github/skills/interview-framework and .opencode/skills/interview-framework in your project.
Going by SKILL.md and its folder, Interview Framework needs the command-line tools its instructions call (go).
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.
Interview Framework is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.9k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Interview Framework: Interview (alirezarezvani/claude-skills, 28k stars), Interview (codewhale-hq/Codewhale, 41k stars), Ralph (Yeachan-Heo/oh-my-claudecode, 40k stars) and Interview Me (addyosmani/agent-skills, 103k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tzachbon (a GitHub user) maintains it in tzachbon/smart-ralph, which has 558 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 16, 2026.
Source: tzachbon/smart-ralph on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.