Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add KirKruglov/claude-skills-kit --skill jobs-to-be-done-extractorgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/jobs-to-be-done-extractor)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/jobs-to-be-done-extractor"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/jobs-to-be-done-extractor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/jobs-to-be-done-extractor"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/jobs-to-be-done-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.01682 |
| Opus 5 | $0.00048 | $0.00841 |
| Sonnet 5 | $0.00019 | $0.00336 |
| Haiku 4.5 | $0.00010 | $0.00168 |
Grade A, and why
jobs-to-be-done-extractor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jobs-to-be-Done Extractor
This skill reads a folder of custdev transcripts and interview notes (md or txt files) and extracts structured Jobs-to-be-Done (JTBD) statements with evidence quotes and cross-file frequency counts. Output is a prioritized JTBD map with confidence labels ready for roadmap and prioritization work.
Input:
- Folder with custdev files (.md or .txt) — transcripts, interview notes, open-ended survey responses
Output:
- Markdown JTBD map with ranked statements, evidence quotes, source references, and a Patterns & Gaps section
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Validate and Read Input Files
- Ask the user to point to the folder containing custdev files (if not already provided).
- List all .md and .txt files in the folder.
- If no files found: stop. Report: "No input files found. Point me to a folder with custdev transcripts or notes (md or txt)."
- If files found: report count — "Reading N files from [folder]."
- Read each file sequentially.
- If a file is empty or unreadable: skip it, note filename — "Skipped: [filename] — empty or unreadable." Continue with remaining files.
- If only 1 file found: note — "Single source — frequency analysis not applicable. All statements treated as low-confidence."
- If more than 15 files found: warn — "Large file set — review may take longer. Consider running on a subset for faster iteration." Then proceed with processing all files.
Step 2: Extract User Motivation Signals
- For each file, identify sentences or passages that contain:
- Explicit user goals ("I want to...", "I need to...", "I'm trying to...")
- Recurring frustrations or pain points ("it's hard to...", "I hate when...", "I always have to...")
- Workarounds the user performs to achieve a goal
- Desired outcomes ("it would be great if...", "I wish I could...")
- Direct quotes about motivations or context
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 151 lines · 97 tokens per session scan A 4337cbc49a9e
jobs-to-be-done-extractor is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,682 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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