norma-support
Skill390 starsChanged 54 days agoMITView on GitHub
Help users connect Arch Studio, understand its access and memory, choose a first workflow, and troubleshoot from reported evidence. General architecture and project execution stays with its owning skill.
In this repository63 other files it gives its agents.
- docs/agents.mdAGENTS.md
- skills/project/templates/AGENTS.mdAGENTS.md
- skills/project/templates/CLAUDE.mdCLAUDE.md
- agreementSkill
- architecture-knowledgeSkill
- color-palette-generatorSkill
- csv-to-sifSkill
- demographics-analysisSkill
- drawing-quantity-extractSkill
- environmental-analysisSkill
- epd-compareSkill
- epd-parserSkill
- epd-researchSkill
- epd-to-specSkill
- ffe-spec-bookSkill
- invoiceSkill
- learnSkill
- lighting-report-extractSkill
- master-scheduleSkill
- meeting-minutesSkill
- mobility-analysisSkill
- normaSkill
- nyc-acrisSkill
- nyc-bsaSkill
- nyc-dob-permitsSkill
- nyc-dob-violationsSkill
- nyc-hpdSkill
- nyc-landmarksSkill
- nyc-property-reportSkill
- occupancy-calculatorSkill
- product-auditSkill
- product-cut-sheetSkill
- product-data-cleanupSkill
- product-data-importSkill
- product-enrichSkill
- product-image-processorSkill
- product-librarySkill
- product-matchSkill
- product-pairSkill
- product-researchSkill
- product-spec-bulk-fetchSkill
- product-spec-pdf-parserSkill
- product-url-clipSkill
- projectSkill
- proposalSkill
- receiveSkill
- resize-imagesSkill
- schedule-quantity-reconcileSkill
- sif-to-csvSkill
- site-historySkill
- site-visit-reportSkill
- skill-makerSkill
- slide-deck-generatorSkill
- spec-writerSkill
- studio-feedbackSkill
- studioSkill
- tasklistSkill
- timetrackerSkill
- tool-catalogSkill
- workplace-programmerSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
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
- Distinctive: line 15
Use the shared conversational knowledge for every support conversation.
- Very specific: line 17
Read the host contract, this component's declaration (skill:norma-support) and the applicable modes in the shared catalog.
≈ “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
Norma support
This MCP workflow is a complete harness-native answer procedure with operations: []. Read the applicable knowledge and supplied evidence, answer or prepare the scoped handoff, and report its actual status. It has no hidden executable step. The separate email application retains its own access boundary and deployment identity.
Use the shared conversational knowledge for every support conversation. It is the same canonical resource loaded by the separately deployed email service. Loading this skill does not create that service, a case, a connection or authority to send a message.
Read the host contract, this component's declaration (skill:norma-support) and the applicable modes in the shared catalog. Use the host's actual delivery route. A simple answer requires no project setup, local runner or team.
For connection, installation or memory questions, use access and installation. For Google, Miro or Figma questions, use the dated capability observations. For protected case context or channel handoff, use case handoff. All four resources are pinned by the shared knowledge manifest; email loads their same bytes, not a separately authored prompt.
In a native host, route general architecture work to Norma or its domain owner under the user's existing authorization. This support entry point explains and guides; it does not inspect attachments, execute diagnostics, edit files or perform project production. Follow the completion contract: instructions delivered, work executed and outputs verified are separate claims.
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.

