What is thematic-analysis?

A method for analyzing written qualitative data, such as interview transcripts, survey answers, documents, or articles, by labeling passages and grouping them into themes.

Use it to code text, build a shared codebook, develop themes, compare sources, and assess gaps in the analysis.

It provides a structured way to find recurring ideas and see which topics are well covered or still missing across text files.

thematic-analysis — Skill for Claude Code and Codex by valtterimelkko

Install

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.

Any agent

npx skills add valtterimelkko/agent-workflow-skills --skill thematic-analysis

Clone the repo

git clone --depth 1 https://github.com/valtterimelkko/agent-workflow-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/thematic-analysis/github.svg)](https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/thematic-analysis)

Your own site

<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/thematic-analysis"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/thematic-analysis/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/thematic-analysis"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/thematic-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,730 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00089	$0.05730
Opus 5.5	$0.00036	$0.02292
Sonnet 5.5	$0.00018	$0.01146
Haiku 4.5	$0.00009	$0.00573

Measured 2mo ago against content hash be216abb75b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

thematic-analysis 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 2mo 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.

skills/thematic-analysis/SKILL.md · 636 lines

How it starts

The opening of the file, as written. The whole thing — 636 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thematic Analysis Skill

Conduct rigorous thematic analysis on qualitative data from files. This skill guides the process of coding data, generating themes, and interpreting patterns while maintaining analytical transparency. Designed for conversational collaboration through chat.

When to Use This Skill

Analyzing interview transcripts or focus group data
Coding survey open-ended responses
Examining documents, articles, or text corpora
Identifying patterns across multiple data sources
Assessing what themes are well-covered vs. under-explored
Developing codebooks for team-based analysis

Chat-Based Collaborative Workflow

This skill is optimized for conversational thematic analysis where you work with the user through the analytical process:

┌─────────────────────────────────────────────────────────────────┐
│  PHASE 1: Familiarization    ─────► Agent performs              │
│  PHASE 2: Initial Coding     ─────► Agent performs              │
│                                                                 │
│  [PAUSE: Present codes to user, get feedback]                   │
│                                                                 │
│  PHASE 3: Searching Themes   ─────► Conversational (with user)  │
│  PHASE 4: Reviewing Themes   ─────► Conversational (with user)  │
│  PHASE 5: Defining Themes    ─────► Conversational (with user)  │
│                                                                 │
│  [PAUSE: Get user permission]                                   │
│                                                                 │
│  PHASE 6: Producing Report   ─────► Agent performs (autonomous) │
└─────────────────────────────────────────────────────────────────┘

How the Workflow Works

Agent Autonomous Phases (1-2): The agent reads the data, develops familiarity, generates initial codes, and presents them with emoji coding prefixes
Conversational Phases (3-5): The agent and user discuss, refine, and develop themes together through dialogue
Final Autonomous Phase (6): After user grants permission, the agent produces the final report independently

Read the full file on GitHub · 636 lines

Files

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.

Changes

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.

2mo ago First seen · 636 lines · 89 tokens per session scan A be216abb75b6

Subscribe to this mod's changes

thematic-analysis is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (3 stars, last pushed 10d ago), licensed MIT. It adds 89 tokens to every session and 5,730 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.

Analytics and metrics Claude Code Research agent-orchestration agent-skills pi-coding-agent skill-md

thematic-analysis next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
thematic-analysisvaltterimelkko/agent-workflow-skills	Skill	3	10d ago	MIT	A	89	Claude Code, Codex
subagentsWaishnav/devspace	Skill	5.4k	5d ago	MIT	A	44	Claude Code, Codex
workflowsWaishnav/devspace	Skill	5.4k	5d ago	MIT	A	34	Claude Code, Codex
taskflowheggria/taskflow	Skill	80	2d ago	MIT	A	122	Claude Code
paperclippaperclipai/paperclip	Skill	112k	today	MIT	A	54	Claude Code, Codex
agentmailpaperclipai/paperclip	Skill	112k	today	MIT	A	30	Claude Code, Codex
ppt-reviewOrkas-AI/Orkas	Skill	9.1k	today	MIT	A	2	Claude Code, Codex