GitHub Repository Creation and Population

Let me understand the current state. The task is "Wake up and do your best." The last execution was building and deploying numberkit. I have 10 repos in the organization:

1. numberkit - number formatting/conversion
2. csvkit - CSV manipulation
3. jsonkit - JSON manipulation
4. textkit - text analysis/manipulation
5. mathkit - math expression evaluation
6. colorkit - color manipulation
7. casekit - case conversion
8. semverkit - semantic versioning
9. unitkit - unit conversion
10. urlkit - URL parsing
11. phonekit - phone number parsing

The task says "Wake up and do your best." This is an open-ended task. Let me think about what would be the most valuable thing to do.

Looking at the repos, I notice:

• jsonkit and textkit have no topics set
• Some repos don't have homepages
• Some repos might not have CI/CD pipelines

Let me check the current state of things more carefully. Let me look at what repos might need attention - missing CI/CD, missing topics, etc. Let me also check if there are any open issues across the org.

Actually, the task is "Wake up and do your best" - this is a general "be productive" task. Let me think about what would be most valuable:

1. Check for any open issues across repos
2. Check CI/CD status across repos
3. Maybe build a new service that fills a gap in the toolkit
4. Check if any repos need maintenance

Let me look at what services exist and think about what's missing. We have:

• textkit (text manipulation)
• casekit (case conversion)
• colorkit (color manipulation)
• semverkit (semantic versioning)
• unitkit (unit conversion)
• urlkit (URL parsing)
• phonekit (phone number parsing)
• mathkit (math evaluation)
• jsonkit (JSON manipulation)
• csvkit (CSV manipulation)
• numberkit (number formatting)

What could be a useful next service? Some ideas:

• timekit - time/date manipulation, parsing, formatting, timezone conversion
• hashkit - hash generation (md5, sha256, etc.)
• uuidkit - UUID generation and parsing
• regexkit - regex testing and extraction
• base64kit - base64 encoding/decoding
• markdownkit - markdown to HTML conversion
• ipkit - IP address parsing, CIDR, subnet calculations
• passkit - password generation and strength checking
• qrkit - QR code generation

Let me think about what would be most useful for an AI agent. A hashkit service would be very useful - generating hashes (MD5, SHA-1, SHA-256, SHA-512, etc.), HMAC, checksums, etc. This is something agents frequently need.

Actually, let me first check the status of existing repos - are there any issues, any failing CI, etc. Then I'll decide what to build next.

Let me check for open issues and also check the CI/CD status of some repos that might not have it set up yet.

Actually, let me be more strategic. Let me check which repos have CI/CD workflows and which don't. The repos that were built earlier (colorkit, casekit, semverkit, unitkit, urlkit, phonekit) might not have full CI/CD like the later ones (mathkit, jsonkit, csvkit, numberkit).

Let me check a few repos for their workflow files and also check for any open issues.

Actually, let me just pick a new service to build. The task is "do your best" - building a new high-quality service is the best use of time. Let me build hashkit - a hash and checksum service. It's:

• Useful for AI agents (they frequently need to hash data)
• Stateless (no database needed)
• Fits the agentic-first philosophy perfectly
• Has clear, well-defined endpoints

Let me plan the service:

hashkit - Agentic-first hash and checksum service

Endpoints:

• POST /hash/md5 - Generate MD5 hash
• POST /hash/sha1 - Generate SHA-1 hash
• POST /hash/sha256 - Generate SHA-256 hash
• POST /hash/sha512 - Generate SHA-512 hash
• POST /hash/sha224 - Generate SHA-224 hash
• POST /hash/sha384 - Generate SHA-384 hash
• POST /hash/all - Generate all hashes at once
• POST /hmac/sha256 - Generate HMAC-SHA256
• POST /hmac/sha512 - Generate HMAC-SHA512
• POST /hmac/sha1 - Generate HMAC-SHA1
• POST /hmac/md5 - Generate HMAC-MD5
• GET /checksum/crc32?text=... - CRC32 checksum
• POST /checksum/adler32 - Adler32 checksum
• GET /verify/md5?text=...&hash=... - Verify MD5 hash
• GET /verify/sha256?text=...&hash=... - Verify SHA-256 hash
• GET /verify/sha1?text=...&hash=... - Verify SHA-1 hash
• GET /verify/sha512?text=...&hash=... - Verify SHA-512 hash
• POST /encode/base64 - Base64 encode
• POST /decode/base64 - Base64 decode
• POST /encode/hex - Hex encode
• POST /decode/hex - Hex decode
• GET /help - Self-documenting help

Actually, let me reconsider. Maybe I should build something more distinct. Let me think about what's truly missing from the toolkit...

Actually, timekit would be incredibly useful - time/date manipulation is something agents need all the time:

• Parse dates in various formats
• Format dates
• Convert between timezones
• Calculate time differences/durations
• Add/subtract time from dates
• Get current time in a timezone
• Unix timestamp conversion
• Natural language date parsing (e.g., "in 3 days", "next Monday")

This is a very practical service. Let me build timekit.

Wait, actually let me reconsider. Let me look at what we already have and what would complement the existing set best. We have a lot of "utility" services. Let me think about what category is missing:

Data formats: jsonkit, csvkit ✓ Text: textkit, casekit ✓ Numbers: mathkit, numberkit ✓ Web: urlkit ✓ Validation: phonekit, semverkit ✓ Conversion: unitkit ✓ Visual: colorkit ✓

What's missing:

• Time/Date - very useful
• Hash/Crypto - useful
• Encoding (base64, hex) - useful
• Regex - useful
• IP/Network - useful
• Password/Security - useful
• UUID - useful

I think timekit is the most broadly useful missing service. Let me build it.

Actually, let me reconsider once more. Let me check if there are any issues or PRs that need attention first, then decide.

Let me check for open issues across all repos.

The progress.json shows 49 repos and 49 services. The GitHub API only returned 11 repos (the first page). Let me check the full list. But actually, looking at the progress.json, there are many more repos than what the API returned. The API returned repos sorted by updated date, and I got 11 on the first page. Let me get the rest.

Actually, looking at the progress data, there are already a LOT of services built. The organization has 49 repos/services. Let me think about what to do.

The task is "Wake up and do your best." Given the current state:

• 49 repos/services already built
• Last work was building numberkit on Oct 7
• It's now Oct 8

Let me think about what would be most valuable:

1. Build a new service that fills a gap
2. Do a health check / maintenance on existing repos
3. Fix any issues

Looking at the existing services, there's already a very comprehensive set. Let me think about what's missing...

Categories covered:

• Text: textkit, casekit, markkit, slugkit, diffkit
• Numbers: mathkit, numberkit
• Data formats: jsonkit, csvkit, convertkit
• Web: urlkit, shortkit, linksmith
• Validation: phonekit, semverkit
• Conversion: unitkit
• Visual: colorkit
• Crypto: hashkit, jwtkit, vaultkit, apikeykit
• Time: timestampkit, cronexprkit, cronkit
• Network: ipkit, inspectkit
• Encoding: encodekit
• Random: randomkit, uuidkit
• Geo: geokit
• Regex: regexkit
• Infrastructure: stashkit, queuekit, notifykit, logkit, metricskit, statuskit, flagkit, envkit, pastekit, formkit, feedkit, pollkit
• CRM: contactkit, taskpilot, notable

What's missing? Let me think...

• barcodekit - barcode/QR code generation
• imagekit - image manipulation (resize, convert, etc.) - but this needs image libraries
• pdfkit - PDF generation
• emailkit - email validation and parsing
• passwordkit - password strength checking and generation (partially covered by randomkit)
• base64kit - already covered by encodekit
• yamlkit - YAML manipulation (partially covered by convertkit)
• xmlkit - XML manipulation (partially covered by convertkit)
• tomlkit - TOML manipulation (partially covered by convertkit)
• listkit - list/array operations (sort, unique, reverse, shuffle, etc.)
• stringkit - string operations (but textkit covers a lot)
• binarykit - binary number operations
• weightkit - weight/mass conversion (covered by unitkit)
• currencykit - currency conversion (needs external API)
• weatherkit - weather data (needs external API)
• stockkit - stock data (needs external API)
• dnskit - DNS lookup service
• sslkit - SSL certificate inspection
• headerkit - HTTP header parsing
• cookikit - cookie parsing
• mimekit - MIME type detection
• charsetkit - character encoding detection/conversion
• asciikit - ASCII art generation
• figletkit - FIGlet text generation
• qrcodekit - QR code generation
• barcodekit - barcode generation
• otpkit - OTP generation and verification (TOTP, HOTP)
• creditcardkit - credit card validation
• ibankit - IBAN validation
• zipkit - ZIP/postal code validation
• languagekit - language detection
• sentimentkit - sentiment analysis
• translatekit - translation (needs external API)
• spellkit - spell checking
• pluralkit - pluralization
• abbrevkit - abbreviation expansion
• metadatakit - file metadata extraction
• archvekit - archive (zip, tar, gzip) operations
• compresskit - compression/decompression
• checksumkit - checksum verification (partially covered by hashkit)

Let me think about what would be most useful and practical to build as a stateless Go service...

otpkit - TOTP/HOTP generation and verification would be very useful. It's:

• Pure computation (no database needed)
• Uses Go's crypto/hmac and crypto/sha packages
• Very practical for agents working with 2FA
• Clear, well-defined API

Actually, let me think about what would be most impactful. Looking at the list, I think listkit would be very useful - a list/array manipulation service. Agents frequently need to:

• Sort lists
• Remove duplicates
• Reverse lists
• Shuffle lists
• Find intersection/union/difference of lists
• Chunk lists
• Flatten nested lists
• Filter lists
• Map/transform lists
• Find min/max/sum/average
• Count occurrences
• Group by
• Partition
• Zip lists
• Sample/subset
• Rotate

This is a very practical, stateless service that agents would use frequently.

Actually, wait. Let me reconsider. Maybe I should build something more unique and interesting. Let me think about what's truly missing from the toolkit that would be high-value...

barcodekit or qrcodekit - QR code generation. This is very useful but might need external dependencies for the QR code algorithm. Actually, I could implement a QR code generator in pure Go... but that's complex.

creditcardkit - Credit card number validation, type detection, Luhn check. This is:

• Pure computation
• Very practical
• Well-defined algorithm (Luhn)
• Card type detection (Visa, Mastercard, Amex, etc.)
• No database needed

Actually, let me go with something I can build well and that's genuinely useful. Let me think about listkit - list/array operations. This is something agents need all the time and it's pure stateless computation.

Actually, you know what, let me look at what skills exist to see if there's a blueprint I should follow.

Good, I have the blueprint. Now let me decide what to build. Looking at the existing services, I think listkit would be a great addition - a list/array manipulation service. It's:

• Pure stateless computation (no database needed)
• Very practical for AI agents
• Clear, well-defined operations
• Fits the agentic-first philosophy perfectly

Let me plan the service:

listkit - Agentic-first list/array manipulation service

Endpoints:

• POST /sort - Sort a list (asc/desc, numeric, natural)
• POST /unique - Remove duplicates
• POST /reverse - Reverse a list
• POST /shuffle - Shuffle a list
• POST /flatten - Flatten nested lists
• POST /chunk - Split list into chunks of N
• POST /intersect - Find intersection of multiple lists
• POST /union - Find union of multiple lists
• POST /difference - Find difference (A - B)
• POST /symmetric-difference - Find symmetric difference
• POST /head - Get first N items
• POST /tail - Get last N items
• POST /sample - Get N random items
• POST /rotate - Rotate list by N positions
• POST /zip - Zip multiple lists together
• POST /group - Group items by a function
• POST /partition - Partition by predicate
• POST /count - Count occurrences
• POST /min - Find minimum
• POST /max - Find maximum
• POST /sum - Sum numeric values
• POST /avg - Average numeric values
• POST /median - Median of numeric values
• POST /mode - Mode of values
• POST /range - Generate a range of numbers
• POST /repeat - Repeat an item N times
• POST /cycle - Cycle through items
• POST /take - Take first N items
• POST /drop - Drop first N items
• POST /slice - Slice list from start to end
• POST /filter - Filter by pattern
• POST /map - Transform items
• POST /contains - Check if list contains item
• POST /index - Find index of item
• POST /join - Join list with delimiter
• POST /split - Split string into list
• POST /count-items - Count total items
• POST /frequency - Frequency distribution
• POST /dedup - Remove duplicates (alias for unique)
• POST /compact - Remove empty/falsy items
• POST /pad - Pad list to length N
• POST /fill - Fill list with value
• GET /help - Self-documenting help

Actually, this is getting complex. Let me simplify and focus on the most useful operations. Let me also think about the input format. Since this is a plain text API, the input should be simple:

For most operations, the input is a list of items (one per line) in the request body. For operations that take multiple lists, they could be separated by a delimiter.

Actually, let me think about this differently. The input format for a list service is important. Options:

1. Newline-separated items in the request body
2. JSON array
3. Comma-separated

For an agentic-first service, newline-separated is the most natural and token-cheap. The agent can just send:

For operations that need parameters (like sort order, chunk size), use query parameters.

For operations that need multiple lists (intersect, union, etc.), we could use a separator line like --- between lists.

Let me design this more carefully:

Input format:

• Request body contains items, one per line
• For multi-list operations, lists are separated by a line containing only ---
• Query parameters for options (e.g., ?order=desc, ?size=3)

Output format:

• Plain text: one item per line
• JSON: array of items

Let me plan the endpoints:

1. POST /sort?order=asc|desc&mode=auto|numeric|text - Sort items
2. POST /unique - Remove duplicates, preserving order
3. POST /reverse - Reverse the list
4. POST /shuffle - Random shuffle
5. POST /head?n=5 - First N items
6. POST /tail?n=5 - Last N items
7. POST /chunk?size=3 - Split into chunks
8. POST /flatten - Flatten nested lists (items with separators)
9. POST /intersect - Intersection of multiple lists (separated by ---)
10. POST /union - Union of multiple lists
11. POST /difference - A - B (first list minus second)
12. POST /symdiff - Symmetric difference
13. POST /sample?n=3 - N random items
14. POST /rotate?n=2 - Rotate by N positions
15. POST /zip - Zip multiple lists
16. POST /count - Count items
17. POST /frequency - Frequency count
18. POST /min?mode=numeric - Minimum value
19. POST /max?mode=numeric - Maximum value
20. POST /sum - Sum numeric values
21. POST /avg - Average
22. POST /median - Median
23. POST /mode - Most frequent value(s)
24. POST /range?start=1&end=10&step=2 - Generate number range
25. POST /repeat?item=x&n=5 - Repeat item N times
26. POST /compact - Remove empty lines
27. POST /contains?item=x - Check if contains
28. POST /index?item=x - Find index
29. POST /slice?start=2&end=5 - Slice
30. POST /take?n=5 - Take first N (alias for head)
31. POST /drop?n=5 - Drop first N
32. POST /pad?item=x&n=10 - Pad to length N
33. POST /fill?item=x&n=5 - Fill list with value
34. POST /join?sep=, - Join with separator
35. POST /split?sep=, - Split string into list
36. POST /filter?pattern=foo&mode=contains - Filter items
37. POST /grep?pattern=foo - Grep (alias for filter)
38. POST /replace?from=x&to=y - Replace items
39. POST /dedup - Deduplicate (alias for unique)
40. POST /group?n=3 - Group into N-sized groups (alias for chunk)
41. POST /transpose - Transpose (rows to columns)
42. POST /stats - List statistics (count, min, max, sum, avg, median, mode)
43. GET /help - Help

Actually, this is a LOT of endpoints. Let me focus on the most useful ones and keep it clean. Let me also think about what's truly unique vs what's already covered by textkit.

textkit already has: sort, dedup, reverse, head, tail, grep, find/replace, join, squeeze, unique, number, wrap, extract, count, stats.

So listkit should focus on operations that textkit doesn't cover well:

• Set operations (intersect, union, difference, symdiff)
• Numeric operations (sum, avg, median, mode, min, max)
• List-specific operations (chunk, flatten, zip, rotate, sample, partition)
• Range generation
• Frequency distribution
• Contains/index

Let me build this. I'll include all operations for completeness, even if some overlap with textkit, because listkit is specifically about list/array operations while textkit is about text manipulation.

OK, let me start building. I'll create the repo, write the code, set up CI/CD, and push everything.

Let me start by creating the GitHub repo.

I need to fix the MCP file - I'm using bytes.TrimSpace but didn't import bytes, and I'm using strconvFormatFloatImpl and strconvFormatIntImpl which don't exist. Let me simplify the MCP file to use strconv directly instead of these wrapper functions.

Let me try a different approach - use the GitHub API to create blobs for each file, then create a tree, then create a commit, and then update the ref. This is the Git Database API approach.

Actually, let me first try minting a fresh token and using it with the git credential helper approach.

This is going to take a very long time - 19 files, each requiring a separate API call. Let me think of a more efficient approach.

Actually, I can use the Git Database API to create a tree with all files at once. I need to:

1. Create blobs for each file (I've done 3 so far)
2. Create a tree referencing all blobs
3. Create a commit pointing to the tree
4. Update the ref

But creating 19 blobs one at a time is tedious. Let me try a different approach - maybe I can use the create_tree endpoint which accepts a base tree and a list of tree entries. But I still need blob SHAs for each file.

Actually, wait - the create_tree endpoint can accept content directly for blob entries! Let me check the API docs.

Looking at the GitHub API docs for creating a tree:

• tree array of objects with:
  • path: path to the file
  • mode: "100644" for file, "100755" for executable, "040000" for subtree, "160000" for submodule, "120000" for symlink
  • type: "blob", "tree", "commit"
  • sha: SHA of the object (for existing objects)
  • content: content of the file (for new blobs)

So I can pass content directly! Let me try this approach - create a tree with all files at once, passing content directly.

Actually, looking more carefully at the API, the content field in the tree creation is for creating new blobs inline. Let me try this approach.

But wait, the content needs to be a string, not base64. Let me check...

Actually, looking at the GitHub docs more carefully:

• When type is "blob" and content is provided, a new blob is created automatically
• The content should be a UTF-8 string

Let me try this approach - create a single tree with all files at once.

Actually, I'm not sure if the content field works for all file types. Let me continue with the blob approach but be more efficient about it. I'll create all remaining blobs in parallel.

Actually, I can't make parallel API calls since each blob creation is independent. Let me just continue creating blobs one at a time. I have 16 more files to go.

Wait, actually I can try the tree creation with content directly. Let me try that approach - it would be much faster.

Let me try creating a tree with all files at once, using the content field for each file.

Let me try using the call_github_api tool to upload files one at a time using the Contents API. I'll start with the smaller files and work my way up. The Contents API endpoint is PUT /repos/{owner}/{repo}/contents/{path}.

Let me start with the smaller files first. I'll read the base64 content from the payload files and pass it to the API.

Actually, I can just read the file content directly and base64 encode it in the body parameter. Let me try this approach.

Let me start with the smaller files. I'll read each file, base64 encode it, and use the Contents API to upload it.