macOS Spm App Packaging
Dimillian/Skills
Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project.
Analyze / reverse-engineer the locally installed Dia Browser mac app (The Browser Company; bundle id company.thebrowser.dia; shares ArcCore with Arc).
Install Dia Source Analysis
$ npx skills add termio-sh/termio --skill dia-source-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install termio-sh/termio dia-source-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dia-source-analysis .claude/skills/dia-source-analysis && rm -rf skills-srcUse ~/.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/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .claude/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add termio-sh/termio --skill dia-source-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install termio-sh/termio dia-source-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dia-source-analysis .agents/skills/dia-source-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .agents/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add termio-sh/termio --skill dia-source-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install termio-sh/termio dia-source-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dia-source-analysis .cursor/skills/dia-source-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .cursor/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/termio-sh/termio.git --path skills/dia-source-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add termio-sh/termio --skill dia-source-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install termio-sh/termio dia-source-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dia-source-analysis .gemini/skills/dia-source-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .gemini/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install termio-sh/termio dia-source-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add termio-sh/termio --skill dia-source-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dia-source-analysis .github/skills/dia-source-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .github/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add termio-sh/termio --skill dia-source-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install termio-sh/termio dia-source-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dia-source-analysis .opencode/skills/dia-source-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dia-source-analysis" agent skill from https://github.com/termio-sh/termio/tree/main/skills/dia-source-analysis into .opencode/skills/dia-source-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dia-source-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dia-source-analysis- GitHub stars
- 540
- Token cost
- ~2.5k tokens
- SKILL.md length
- 948 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze / reverse-engineer the locally installed Dia Browser mac app (The Browser Company; bundle id company.thebrowser.dia; shares ArcCore with Arc).
- Works in 6 steps: Identify version (always first) → Recover the agent-server source (the big… → Fingerprint the runtime → …
- Wants to study how Dia works internally
- SKILL.md covers Golden rules, Established facts (as of Dia…, Bundle map and Procedure, plus 1 more section
- Runs Python scripts from its folder; calls python3 and brew
What it does
Dia Source Analysis is an agent skill from termio-sh/termio. Analyze / reverse-engineer the locally installed Dia Browser mac app (The Browser Company; bundle id company.thebrowser.dia; shares ArcCore with Arc). Inspect its app bundle, extract its Bun/TypeScript agent-server source from shipped source maps, fingerprint the runtime, read native-Swift symbols, and map its AI-agent / sandbox / on-device-ML architecture. Invoke when the user wants to study how Dia works internally, extract Dia's agent code, or compare Dia's agent/terminal approach against termio. (User…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract-sourcemaps.py`).
It sits in Mobile, covering iOS development. It works with TypeScript and macOS. The repository describes itself as: A terminal-first agentic development environment for agentic coding. Build for CLI/TUI agent. Runtime for Coding Agent, Tmux alternative. The licence is MIT.
When your agent uses it
- Wants to study how Dia works internally
- Extract Dias agent code
- Compare Dias agent/terminal approach against termio
Example prompts
- “s agent code, or compare Dia”
- “DotBrowser”
- “/dia-source-analysis”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit af3b35b. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3brew
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
Dia Source Analysis loads about 2.5k tokens when it runs. Until then it costs about 148 tokens; SKILL.md has 948 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from termio-sh/termio at commit af3b35b, republished under its MIT licence (© termio-sh). 948 words, ~2,496 tokens.
Download SKILL.mdSave it as
.claude/skills/dia-source-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- dia-source-analysis
- description
- Analyze / reverse-engineer the locally installed Dia Browser mac app (The Browser Company; bundle id company.thebrowser.dia; shares ArcCore with Arc). Inspect its app bundle, extract its Bun/TypeScript agent-server source from shipped source maps, fingerprint the runtime, read native-Swift symbols, and map its AI-agent / sandbox / on-device-ML architecture. Invoke when the user wants to study how Dia works internally, extract Dia's agent code, or compare Dia's agent/terminal approach against termio. (User sometimes voice-types the name as 'DotBrowser' — same app.)
Analyze Dia Browser source
Dia (/Applications/Dia.app, The Browser Company, company.thebrowser.dia) is a
WebKit-based browser (~1.4 GB) that shares ArcCore.framework with Arc. termio uses
it as a reference for how a shipping product drives AI coding agents as sandboxed
child processes (Dia shells to the real Claude Code CLI under Seatbelt) and for its
agent-server / IPC architecture. This skill captures how to dig into it and what's
already known, so analysis doesn't start from scratch each time.
Golden rules
- Read-only, on the user's own machine, for research. This is proprietary code shipped to the user. Use it to understand and learn, never to copy/redistribute verbatim or ship lifted code. State this caveat when sharing recovered source.
- Verify before trusting old findings. The "Established facts" below are version-stamped.
Dia auto-updates (Sparkle); bundle layout, file hashes, runtime versions, and even whether
source maps ship can all change. Always re-read
info.json+CFBundleShortVersionStringfirst and treat mismatches as "re-derive from scratch." - Two recoverability tiers: the Bun/TS agent backend is near-fully recoverable (source maps); the native Swift app is symbols/structure only (no real source).
Established facts (as of Dia 1.34.2 — RE-VERIFY)
Agent-server info.json (1.34.2): version 1.0.0, buildDate 2026-06-10, commit 47de9fbe6c4,
claudeCodeVersion 2.1.131. (Was 1.32.0 / commit 55d9d2e174b / buildDate 2026-05-20.)
- ⚠️ Source maps NO LONGER SHIP as of 1.34.2.
extract-sourcemaps.pyreturns "No .map files found" — the Bun/TS agent-server backend is no longer recoverable as near-original TS (only logic compiled into the Mach-O remains). The native-Swift tier is unchanged: symbols + embedded source paths only. So "the big win" in §1 below is gone on current builds; keep the procedure for older installs / in case they return. - Agent backend = Bun-compiled standalone Mach-O (
agent-server,handler) + the real Claude Code CLI (claude, 206 MB, itself a Bun binary). No separate Node/Bun runtime is installed — each binary embeds Bun. They run as child processes under Seatbelt sandbox (sandbox-exec -f agent.sb/agent-claude-code.sb, params via-D DATA_DIR=…), talking to the native UI over SSE/IPC (transport/sse.ts,ipc-gateway.ts). Per-context workspace atdata/contexts/{contextId}with resumable disk buffers (session/buffer.ts, JSONL). This is the part most relevant to termio — termio runs agents in real PTYs (.exec) instead, but the child-process-under-sandbox + resumable-buffer + IPC design is the directly comparable bit. - Streaming smoothness comes from native rendering +
session/update-batcher.ts: deltas are coalesced and flushed only on ≥256 B OR 250 ms idle OR completion — so the UI updates a few times/sec, not per token. The Bun agent-server is backend orchestration and does NOT touch UI perf. - AI chat ("AssistantPanel") renders NATIVELY, not in a webview. Markdown parsed by
cmark(swift-markdown), code highlighted by Highlightr (CodeAttributedString→ NSAttributedString), math by SwiftMath (MTMathListDisplay, CoreText). UI is AppKitNSViewControllers (source pathsFrameworks/BoostBrowser/Sources/AssistantPanel/*.swift). - The AI input is the native AppKit module
BoostCommandBar(Frameworks/BoostBrowser/ Sources/BoostCommandBar/*): a token/pillTokenTextVieww/SkillPillTokenViewProvider; Skills =SkillsV3;@-mentions (AtMentionKeywords: @Search/@Slack/@Gmail/@Notion) insert context/tool pills. On-devicecmd_t_router(3-label intent) +skillsclassifier rank proactive suggestions. - WKWebView (~45 refs) is for web pages + HTML "artifacts" (reports/slides via
report-kit/slide-kit), NOT for chat bubbles. - On-device ML (
OnDeviceLoRAadaptorsbundle, 152 M): one shared DistilBERT-base encoder (126 M, fp16) + three LoRA adapters + heads —cmd_t_router(input intent),skills(which skill to fire),sensitive_content(privacy gate). Run via MLX (mlx-swift).
Bundle map
| Path | Size | What |
|---|---|---|
Contents/Frameworks/ArcCore.framework | ~548 M | browser engine core (WebKit + Arc) |
Contents/Resources/agent-server-resources/dist | ~371 M | Bun agent backend + bundled claude CLI (206 M) |
Contents/Resources/OnDeviceLoRAadaptors_…bundle | ~152 M | DistilBERT base + 3 LoRA classifiers |
Contents/MacOS/Dia | ~106 M | native Swift app binary (AssistantPanel etc.) |
Contents/Frameworks/libAIInfra.dylib | ~21 M | on-device classification (LocalClassification) |
Contents/Resources/*.bundle | — | Highlightr, SwiftMath, SwiftProtobuf, mlx-swift, swift-transformers, ARC/BoostBrowser feature bundles |
dist/*.sb | — | Seatbelt sandbox profiles |
Show full SKILL.md (374 more words)Show less
Procedure
0. Identify version (always first)
/usr/libexec/PlistBuddy -c "Print :CFBundleShortVersionString" /Applications/Dia.app/Contents/Info.plist
cat "/Applications/Dia.app/Contents/Resources/agent-server-resources/dist/info.json"1. Recover the agent-server source (the big win)
The .js bundles are compiled into the Mach-O binaries and NOT shipped, but entrypoint.js.map
and handler-entrypoint.js.map ship with sourcesContent populated → near-original TS.
python3 skills/dia-source-analysis/scripts/extract-sourcemaps.py --out /tmp/dia-srcYields ~40 "own" TS files (non-node_modules): agent/harness/claude-sdk/* (how it drives the
Claude SDK — prompt-template.ts, proxy-tools.ts, claude-sdk-in-process.ts, sandbox.ts),
session/*, transport/*, handler/*, runtime.ts, watchdog.ts, main.ts. Also readable
without extraction: dist/agents/*/spec.yaml, dist/agents/*/.claude/, dist/resources/tool-schemas/*.json.
2. Fingerprint the runtime
D=/Applications/Dia.app/Contents/Resources/agent-server-resources/dist
for f in agent-server handler claude; do echo "== $f"; \
strings -a "$D/$f" | grep -iE "Bun v[0-9]|Bun/[0-9]|node\.js v[0-9]"|sort -u|head; done3. Native Swift binary — structure recoverable via ipsw class-dump --swift (no bodies)
The symbol table is stripped (nm ≈ 8.5k symbols, no Swift method-body symbols; debugger
attach is blocked by hardened runtime flags=0x10000(runtime) + no get-task-allow). But the
Swift reflection metadata survives and gives field-level structure — the closest thing to source:
brew install ipsw # one-time
BIN=/Applications/Dia.app/Contents/MacOS/Dia
strings -a "$BIN" | grep -iE "AssistantPanel|Highlightr|SwiftMath|cmark|MarkdownText" | sort -u | head
ipsw class-dump "$BIN" --class 'AssistantPanel' # response/content view controllers
ipsw macho info "$BIN" --swift-all | grep -i <Type> # genericsThis yields class/struct instance-variable layouts, superclasses, protocol conformances, and
method signatures — NOT bodies, and NOT the numeric values of fields. strings still gives
demangled type names + embedded source paths (/Users/admin/actions-runner/_work/arc/arc/…).
For deeper work use Hopper/Ghidra, but Swift ABI makes UI/animation bodies near-unreadable.
4. On-device models
B=/Applications/Dia.app/Contents/Resources/OnDeviceLoRAadaptors_OnDeviceLoRAadaptors.bundle/Contents/Resources
cat "$B/config.json"; ls -lhS "$B"/*.safetensors
strings -a /Applications/Dia.app/Contents/Frameworks/libAIInfra.dylib | grep -iE "cmd_t|router|sensitive|skills_|distilbert|lora" | sort -u | head5. Sandbox profiles (most relevant to termio)
cat /Applications/Dia.app/Contents/Resources/agent-server-resources/dist/agent.sb
cat /Applications/Dia.app/Contents/Resources/agent-server-resources/dist/agent-claude-code.sbThese are Seatbelt (sandbox-exec) profiles — read them to see exactly what the agent / Claude
Code subprocess may touch.
Relevance to termio
termio is a native Swift + libghostty terminal for AI coding agents (unpeel-style): it runs
each agent/session in a real PTY (.exec) via a libghostty surface, unsandboxed. Dia solves an
adjacent problem — driving the same Claude Code CLI — but from a browser, sandboxed, over IPC.
When comparing, borrow narrowly (termio is deliberately simple/minimal — do not import Dia's
~370 M Bun agent-server, on-device ML stack, or browser surface):
- Sandbox profiles (§5) are the highest-value takeaway: if termio ever wants to constrain
what an agent session can touch beyond the PTY, Dia's
agent.sb/agent-claude-code.sbSeatbelt profiles are a concrete, shipping reference forsandbox-exec. - Child-process + resumable buffer + IPC design (
session/buffer.tsJSONL, per-context workspace) is the architecture analog to termio keeping aTerminalControlleralive per session in the SurfaceCache — same goal (survive view rebuilds / resume), different mechanism. - Delta coalescing (
update-batcher.ts: flush on ≥256 B / 250 ms idle / completion) is a generic perf lesson if termio ever renders agent output outside the raw terminal grid. - Skip: the native AssistantPanel renderer and on-device LoRA classifiers — termio shows a real terminal, not a native chat surface, so those don't map.
© termio-sh, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/dia-source-analysis of termio-sh/termio.
- SKILL.md
- scripts/extract-sourcemaps.py
Open the folder on GitHubat commit af3b35b
Compare with similar skills
Dia Source Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dia Source Analysis this skilltermio-sh/termio | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| macOS Spm App PackagingDimillian/Skills | 4k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Orca iOS Simulator Controlstablyai/orca | 87k | 1 repos | ~584 | Automated safety check: Pass | Apache-2.0 | |
| Apple Crash Log .NET Symbolicationdotnet/skills | 5.6k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Build Teaql Appteaql/teaql-agent-kit | 2.8k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Swiftui Expert Skillomarshahine/HomeClaw | 176 | 4 repos | ~2.8k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Dia Source Analysis
What does Dia Source Analysis do?
Analyze / reverse-engineer the locally installed Dia Browser mac app (The Browser Company; bundle id company.thebrowser.dia; shares ArcCore with Arc). Dia Source Analysis is an agent skill from termio-sh/termio.dia; shares ArcCore with Arc).
When should I use Dia Source Analysis?
Dia Source Analysis fits situations like: wants to study how Dia works internally; extract Dias agent code; compare Dias agent/terminal approach against termio.
How do I install Dia Source Analysis in Claude Code?
Run `npx skills add termio-sh/termio --skill dia-source-analysis -a claude-code`. Or copy the skill folder (skills/dia-source-analysis in termio-sh/termio) into .claude/skills/dia-source-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Dia Source Analysis in Codex?
Run `npx skills add termio-sh/termio --skill dia-source-analysis -a codex`. Or copy the skill folder (skills/dia-source-analysis in termio-sh/termio) into .agents/skills/dia-source-analysis in your project. Codex loads it when a task matches its description.
Can I use Dia Source Analysis 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 termio-sh/termio --skill dia-source-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dia-source-analysis, .gemini/skills/dia-source-analysis, .github/skills/dia-source-analysis and .opencode/skills/dia-source-analysis in your project.
What does Dia Source Analysis need to run?
Going by SKILL.md and its folder, Dia Source Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and brew). Our summary lists: Python 3.
Does Dia Source Analysis 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 Dia Source Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dia Source Analysis use?
Dia Source Analysis 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 Dia Source Analysis use?
About 2.5k tokens (SKILL.md is roughly 10k 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 Dia Source Analysis?
Skills that share tags, products or a category with Dia Source Analysis: macOS Spm App Packaging (Dimillian/Skills, 4k stars), Orca iOS Simulator Control (stablyai/orca, 87k stars), Apple Crash Log .NET Symbolication (dotnet/skills, 5.6k stars) and Build Teaql App (teaql/teaql-agent-kit, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dia Source Analysis?
termio-sh (a GitHub organization) maintains it in termio-sh/termio, which has 540 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 7, 2026.
Source: termio-sh/termio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.