mystical-assistant
CLAUDE.md7 starsChanged 4 days agoMITView on GitHub
A bridge that runs Claude Code on this machine, driven from three surfaces: a Telegram bot (bridge/dispatch.py), a Telegram Mini App (bridge/miniapp/, port 8787), and a localhost dashboard (bridge/dashboard/, port 8790). Landing page on 8791. Python stdlib only on the backend — no framework, no ORM, no async runtime. On macOS, Mystical.app (macos/, Swift, system frameworks only) wraps the dashboard in a native window + menu bar; macos/probe.sh snapshots it without Screen Recording permission, macos/capture.sh captures the real screen through…
In this repository27 other files it gives its agents.
- accessibility-auditSkill
- algorithmic-artSkill
- api-docsSkill
- beautiful-shadowsSkill
- brainstormingSkill
- bridge-eyesSkill
- bridge-feature-sliceSkill
- bridge-shipSkill
- bridge-worktreeSkill
- changelogSkill
- color-paletteSkill
- content-strategySkill
- design-firstSkill
- design-implementSkill
- design-reviewSkill
- design-tokensSkill
- emil-design-engSkill
- empty-statesSkill
- frontend-designSkill
- landing-pageSkill
- micro-interactionsSkill
- mystical-assistant-designSkill
- ogilvy-copywritingSkill
- onboarding-guideSkill
- typography-scaleSkill
- visual-style-presetsSkill
- writing-guidelinesSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 60
No external MCP servers load by default (startup cost) — the mcp-on skill turns one on for a session.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
mystical-assistant
A bridge that runs Claude Code on this machine, driven from three surfaces:
a Telegram bot (bridge/dispatch.py), a Telegram Mini App
(bridge/miniapp/, port 8787), and a localhost dashboard
(bridge/dashboard/, port 8790). Landing page on 8791. Python stdlib only on
the backend — no framework, no ORM, no async runtime. On macOS, Mystical.app
(macos/, Swift, system frameworks only) wraps the dashboard in a native window
- menu bar;
macos/probe.shsnapshots it without Screen Recording permission,macos/capture.shcaptures the real screen through the app (it holds that permission; a session's shell never can), andcd macos && swift testruns its tests. On Windows (the bridge in WSL), Mystical.exe (windows/app, C#, WinForms + WebView2, Microsoft frameworks only) is the same shell, built on the Windows side bywindows/build.shthroughdotnet.exe;windows/probe.shsnapshots it,windows/capture.shcaptures the real screen through it, andwindows/build.sh --checkplusnode windows/shim.check.mjsrun its checks. On a Linux desktop, linux/window.py (system python3 + GTK 3/WebKitGTK 4.1, no build) is the same window: links go to the desktop's default browser, the page draws its title bar (isLinuxApp()), andmystical appputs it in the app launcher.tests/test_linux_window.pycovers its link policy; the GTK half was checked on a private Xvfb + dbus-run-session, never the user's own display.
The one thing that bites everyone
The running bridge is a snapshot of the code from when it launched. A
committed fix does nothing until the bridge restarts, and restarting is not
mystical restart when you are a session inside that bridge — you share its
systemd cgroup and would kill yourself mid-turn. The dashboard's ⟳ (right rail,
above the changelog) shows what's on disk but not running and makes it live: point
the user at it rather than restarting. Details: the bridge-ship skill.
Tests
python3 -m pytest tests/ -q # 1007 passing, ~19s (2026-08-18)Fully green. Anything red is your change — there is no known-failure floor.
tests/conftest.py pins the environment before bridge.config is imported,
because config freezes every setting into module constants at import time. A
test that imports bridge.config (directly or transitively) before conftest's
pins would run against your real ~/.bridge_state DB, your real accounts, and
your real chat-id allow-list. Never add env setup inside a test module's
preamble — put it in conftest, above the first bridge import.
Conventions
ponytail:comments are load-bearing. They mark a deliberate shortcut and name its ceiling. Don't "fix" one without reading what it defers;/ponytail-debtharvests them.- Module docstrings carry the design rationale — the why not as much as the what. Read the docstring before changing a module; write one for a new one.
- Specs and plans live in
docs/superpowers/{specs,plans}/slug.md— named by topic, no date prefix (git has the date, and you search by subject). - Per-repo runtime state (git-ignored) goes in
.mystical/:dev.log,learn/lessons, design-sync state,docs/for reports and other markdown written to be read. It self-ignores from git (.mystical/.gitignoreis*), so anything that must survive in the repo — specs, plans, releases — stays indocs/. - No external MCP servers load by default (startup cost) — the
mcp-onskill turns one on for a session.
Project skills
- bridge-worktree — where feature work lives, and keeping its data off the live DB.
- bridge-ship — build, restart, and confirm a change is actually live.
- bridge-feature-slice — wiring a capability across all three surfaces.
- bridge-eyes — screenshotting/driving the UIs headlessly to verify frontend work.
- mystical-assistant-design — the CRT-HUD brand system, tokens, components.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

