architect-status
Skill3 starsChanged 2 months agoApache-2.0View on GitHub
Report read-only Architect project status from core context and, when available, the tracks registry and plans. Use when the user asks for setup status, progress, current task, next action, blockers, completion percentage, or pending work.
In this repository5 other files it gives its agents.
- architect-discussSkill
- architect-implementSkill
- architect-proposeSkill
- architect-reviewSkill
- architect-setupSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Keep reads under safe architect/ paths and never resolve malformed track links.
- Very specific: line 18
Read references/status-protocol.md and verify core context.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
Architect Status
Report best-effort Architect state without changing it. Follow references/status-protocol.md as the source of truth.
Hard Boundaries
- This skill is strictly read-only: never create, edit, move, delete, archive, or commit.
- Keep reads under safe
architect/paths and never resolve malformed track links. - Report integrity issues; do not repair them.
Run
- Read
references/status-protocol.mdand verify core context. - Classify missing, partial, or complete track-management state.
- Parse safe registry entries, plan task-status granularity, and metadata best-effort.
- Compute progress, current work, next action, blockers, and precedence-based project status.
- Return the concise report and stop without mutations or interactive cleanup prompts.
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.

