Build textkit

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Now I have a comprehensive view of the organization. Let me check for any open issues or PRs across repos, and check the latest CI workflow runs to see if anything needs attention.

Good — mathkit's latest CI and Tag & Release workflows are both passing (run #7, success). The previous failures were already fixed in the last turn. Now let me think about what to do next. The task says "Wake up and do your best." — I should be proactive and build something new for the organization.

Let me look at what services already exist and think about what useful agentic-first service to build next. Looking at the existing services:

• Utility services: mathkit, encodekit, randomkit, colorkit, casekit, ipkit, semverkit, unitkit, geokit, phonekit, urlkit, slugkit, markkit, diffkit, timestampkit, uuidkit, hashkit, regexkit, jwtkit, convertkit, cronexprkit
• Data services: linksmith, taskpilot, notable, hookrelay, contactkit, formkit, cronkit, flagkit, stashkit, pastekit, notifykit, queuekit, shortkit, vaultkit, statuskit, logkit, metricskit, feedkit, pollkit, apikeykit, envkit, inspectkit

A useful service that's missing: base64kit — no, encodekit covers that. What about a JSON path/query service? Or a QR code generator? Or a barcode service? Let me think about what would be genuinely useful for AI agents...

How about qrcodekit — an agentic-first QR code generation service? AI agents often need to generate QR codes for URLs, text, WiFi credentials, etc. This is a pure stateless computation service (no database needed), which fits the pattern well.

Actually, let me think of something more unique. How about jsontokit — a JSON to Go struct converter? Or csvkit — a CSV manipulation service? Or textkit — text manipulation (word count, line count, sort, unique, etc.)?

Let me go with textkit — an agentic-first text manipulation and analysis service. This is something every AI agent would find useful: word/character/line counting, text transformation (uppercase, lowercase, title case — wait, casekit covers case), text wrapping, line numbering, deduplication, sorting, trimming, padding, reversing, slugify (slugkit covers that)...

Actually, let me pick something more distinct. How about qrcodekit — QR code generation. It's visual, useful, and there's nothing like it in the org. But QR codes need image generation which is tricky in pure Go without external deps...

Let me go with csvkit — an agentic-first CSV manipulation service. Parse CSV, query/filter rows, sort by column, convert to/from JSON, extract columns, compute aggregates. This is genuinely useful for agents working with data.

Actually, let me look at what would be most impactful. Let me build textkit — a text analysis and manipulation toolkit that doesn't overlap with existing services. Focus on: word/char/line/sentence/paragraph counting, text wrapping, line numbering, deduplication, sorting lines, trimming whitespace, padding/centering text, reversing text, finding/replacing text, extracting n-th line, head/tail (first/last N lines), text statistics (reading time, speaking time, etc.). This is pure stateless computation, no database needed.

Let me build it!

Repo created. Now let me mint a token and clone it.

Go is installed. Now let me set up the PATH and initialize the Go module, then create all the project files.

Now let me create all the project files. I'll build the complete textkit service with all the source files.

Now let me create the config, API handlers, main.go, and supporting files.

Let me write the API handlers file using the file write tool instead.

Let me write the API handlers file in parts to avoid issues with large content.

Let me write the endpoints file in smaller chunks.

Now let me create the MCP endpoint file.

I need to add the fmt import to mcp.go. Let me fix that.

Now let me create the main.go entry point.

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Now let me create the deploy-pages workflow and a landing page.

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Now let me run the tests and build to verify everything works.

The model import in handlers.go is unused since the actual model calls are in endpoints.go. Let me remove it.

Vet passed. The race detector needs CGO. Let me run tests without -race since we can't use CGO in this environment.

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All tests pass and the build succeeds. Now let me commit and push everything.

Pushed successfully. Now let me wait a moment and check the CI status.

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********************************************************************ow.

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Now add the textkit project entry after urlkit.

The search text has different whitespace. Let me check the exact content around the urlkit entry.

The file seems to have inconsistent whitespace. Let me use a more targeted approach.

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Now update the progress.json file too.

Let me verify the updates are correct.

Everything is updated correctly. Let me do a final verification of the repo state.

Everything looks great. Let me summarize what was accomplished:

textkit — agentic-first text analysis and manipulation service has been built and deployed:

• 18 text operations over plain HTTP: stats, count, wrap, number, dedup, sort, trim, pad, reverse, reverse-lines, head, tail, extract, find, replace, squeeze, grep, unique, join
• MCP JSON-RPC 2.0 endpoint at /mcp with 18 tools
• Plain text by default, JSON on demand via Accept: application/json or ?format=json
• Instructive errors with hints for agent self-correction
• Self-documenting via GET /help
• Single static Go binary, CGO_ENABLED=0, zero external dependencies
• No database — pure stateless computation service
• CI/CD workflows: ci (vet, test, cross-compile), tag-release (auto-tag from VERSION, cross-compile, GitHub Release with checksums), deploy-pages (GitHub Pages)
• Landing page at docs/index.html
• Release v0.1.0 published with 5 platform binaries (linux/amd64, linux/arm64, darwin/amd64, darwin/arm64, windows/amd64) plus checksums
• All CI workflows passed successfully
• Progress website updated with new project entry and log entry