Agent skill

Soul Interview

by ldbumble in ldbumble/taskuary

Conduct a seven-question adaptive interview and turn the answers into Taskuary's SOUL.md.

MITAuto-check passedProductivity & Automation

Install Soul Interview

skills CLI
$ npx skills add ldbumble/taskuary --skill soul-interview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ldbumble/taskuary soul-interview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ldbumble/taskuary.git skills-src && mkdir -p .claude/skills && cp -r skills-src/taskuary/skills/soul-interview .claude/skills/soul-interview && rm -rf skills-src

Use ~/.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/

Facts

Skill name
soul-interview
GitHub stars
137
Token cost
~1.4k tokens
SKILL.md length
772 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

Conduct a seven-question adaptive interview and turn the answers into Taskuary's SOUL.md.

  • Works in 6 steps: # SOUL.md - the operator's document → ## What counts as a task → ## How we respond → …
  • Substantially rewriting the owners operating context
  • SKILL.md covers Fixed product boundaries are…, Interview and Write the document
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Soul Interview is an agent skill from ldbumble/taskuary. Conduct a seven-question adaptive interview and turn the answers into Taskuary's SOUL.md. Use when creating or substantially rewriting the owner's operating context, boundaries, priorities, relationships, and communication preferences.

Its SKILL.md is about 1.4k 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 Productivity & Automation, covering Task management. It works with Model Context Protocol, FastAPI, React and Python. The repository describes itself as: Your work, already underway. A personal AI assistant for your job: mail, chats and tickets become tasks, the agents you already use (Claude Code, Codex, Gemini) do the work, and… The licence is MIT.

When your agent uses it

  • Substantially rewriting the owners operating context
  • Communication preferences

Example prompts

  • “s SOUL.md. Use when creating or substantially rewriting the owner”
  • “/soul-interview”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. # SOUL.md - the operator's document
  2. ## What counts as a task
  3. ## How we respond
  4. ## Escalate (a human decides) when
  5. ## Systems and repositories
  6. ## People

What it can do on your machine

Read from SKILL.md and the folder at commit 439e457. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Soul Interview loads about 1.4k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 772 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 ldbumble/taskuary at commit 439e457, republished under its MIT licence (© ldbumble). 772 words, ~1,440 tokens.

Download SKILL.mdSave it as .claude/skills/soul-interview/SKILL.md (or your agent's skills folder).
name
soul-interview
description
Conduct a seven-question adaptive interview and turn the answers into Taskuary's SOUL.md. Use when creating or substantially rewriting the owner's operating context, boundaries, priorities, relationships, and communication preferences.

Adaptive SOUL.md interview

Learn how the assistant should work for this particular person. Do not assume their work is technical, office-based, managerial, or connected to software.

Fixed product boundaries are not interview topics

Taskuary's approval gate is a system rule, not a preference SOUL.md can grant or relax. Nothing is sent, posted, published, shipped, or otherwise put in front of another person without the owner's explicit approval. Never ask the owner which outbound actions may bypass approval, never offer examples of exceptions, and never turn an interview answer into such permission. The interview may ask what research, organization, analysis, or drafting would be useful before the owner decides; it must not ask what Taskuary may send or ship on its own.

Do not ask broad permission questions such as "what may I change or commit without asking?" The agent and playbook rules govern execution. SOUL.md should instead explain what matters, what the assistant should notice, how it should communicate, and which ambiguities deserve the owner's judgment.

Interview

  • Ask exactly seven user-facing questions, one at a time. Wait for each answer before choosing the next question.
  • Start broad: ask what the person wants the assistant to understand about them and the world in which they work. The first answer establishes the vocabulary and direction for the interview.
  • Generate questions 2–7 from the full transcript so far. Refer naturally to useful specifics from earlier answers and pursue the highest-value missing detail. A generic fixed sequence is not adaptive.
  • Ask one clear question per turn. Do not hide several unrelated questions in one sentence.
  • Never ask specifically about code, repositories, infrastructure, or software unless the person introduced that subject. Use their domain's language instead.
  • Respect “skip”, uncertainty, and short answers. Do not manufacture facts or pressure the person.
  • Across the seven answers, learn enough to describe the person's context and desired outcomes, what matters most and what deserves attention, how the assistant should communicate and summarize, which ambiguities need the person's judgment, the person's organizational relationships, and the tools or sources of truth that shape the work. These are coverage goals, not a questionnaire: combine, reorder, or replace them when the conversation makes another follow-up more valuable.
  • Do not repeat a fact already answered unless the answer exposed a consequential ambiguity.
Keep the two kinds of people context separate
  • People means the human working map: who the owner answers to, who answers to or depends on the owner, close collaborators, customers or leaders who change the communication context, and how the owner wants their requests understood. Message frequency is context, not proof that somebody is important or has authority. Names listed only as frequent correspondents in Taskuary's known context must not be presented as already important. When this area is missing, ask a relationship-first question rather than "who else is important?"
  • Project relationships is separate structured memory maintained by Taskuary. It learns which people and channels belong to which project/repository only from the owner's explicit routing choices. Do not ask the owner to recreate that map in this interview, do not infer repository ownership from an interview answer, and do not write a ## Project relationships section. The application restores that generated section after the interview without overwriting it.

When called with MODE: NEXT_QUESTION, return JSON only:

json
{"q":"The one next question?","why":"One short sentence explaining why this follows from what the person said.","placeholder":"A brief example shaped to their context, without presenting it as their fact."}
Show full SKILL.md (229 more words)Show less

Write the document

When called with MODE: WRITE_SOUL, turn the complete interview into concise Markdown. Preserve the person's language and uncertainty. Never add a policy, person, responsibility, system, or preference they did not state or that Taskuary did not supply as known context.

Keep exactly these headings and this order because Taskuary reads them:

  1. # SOUL.md - the operator's document
  2. ## What counts as a task
  3. ## How we respond
  4. ## Escalate (a human decides) when
  5. ## Systems and repositories
  6. ## People

Under the title, briefly identify the owner and the assistant's purpose. Include the standing promise that nothing sends or ships without the owner's explicit approval. That sentence is mandatory even if an interview answer appears to disagree; SOUL.md cannot create an exception. Use short, concrete bullets. Treat “Systems and repositories” broadly as relevant tools, places, records, and sources of truth; mention code repositories only when they are actually part of this person's work. If an area was not answered, use one conservative line that says it is not yet specified rather than guessing. In People, capture direction and relationship (reports to, reports to the owner, peer, customer, leader, dependent) when stated; never convert mere correspondence frequency into importance. Do not author or summarize the application-managed Connected systems, Project relationships, or Repository map sections; Taskuary preserves and regenerates those separately. Return Markdown only, without a preamble or code fence.

© ldbumble, MIT. 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 taskuary/skills/soul-interview of ldbumble/taskuary.

Open the folder on GitHubat commit 439e457

Compare with similar skills

Soul 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.

Soul Interview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Soul Interview this skillldbumble/taskuary137—~1.4kAutomated safety check: PassMIT
Retinuejklthinking/retinue112—~279Automated safety check: PassMIT
Claap Weekly RecapOthmane-Khadri/YALC-the-GTM-operating-system317—~5.4kAutomated safety check: PassMIT
Olore A2a Latestolorehq/olore104—~721Automated safety check: PassMIT
LangBot Core Developmentlangbot-app/LangBot18k—~1.4kAutomated safety check: NotesApache-2.0
Create PRbeyonders-studio/initiative171—~2.7kAutomated safety check: PassAGPL-3.0

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Questions about Soul Interview

What does Soul Interview do?

Conduct a seven-question adaptive interview and turn the answers into Taskuary's SOUL.md. Soul Interview is an agent skill from ldbumble/taskuary.md.

When should I use Soul Interview?

Soul Interview fits situations like: substantially rewriting the owners operating context; communication preferences.

How do I install Soul Interview in Claude Code?

Run `npx skills add ldbumble/taskuary --skill soul-interview -a claude-code`. Or copy the skill folder (taskuary/skills/soul-interview in ldbumble/taskuary) into .claude/skills/soul-interview in your project. Claude Code loads it when a task matches its description.

How do I install Soul Interview in Codex?

Run `npx skills add ldbumble/taskuary --skill soul-interview -a codex`. Or copy the skill folder (taskuary/skills/soul-interview in ldbumble/taskuary) into .agents/skills/soul-interview in your project. Codex loads it when a task matches its description.

Can I use Soul Interview 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 ldbumble/taskuary --skill soul-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/soul-interview, .gemini/skills/soul-interview, .github/skills/soul-interview and .opencode/skills/soul-interview in your project.

What does Soul Interview need to run?

SKILL.md names no scripts, command-line tools or credentials: Soul Interview is instructions for the agent only.

Does Soul Interview 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 Soul Interview 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 Soul Interview use?

Soul Interview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Soul Interview use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 Soul Interview?

Skills that share tags, products or a category with Soul Interview: Retinue (jklthinking/retinue, 112 stars), Claap Weekly Recap (Othmane-Khadri/YALC-the-GTM-operating-system, 317 stars), Olore A2a Latest (olorehq/olore, 104 stars) and LangBot Core Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Soul Interview?

ldbumble (a GitHub user) maintains it in ldbumble/taskuary, which has 137 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 8, 2026.

Source: ldbumble/taskuary on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.