load-context
Skill3 starsChanged 49 days agoMITView on GitHub
Use at the start of /research and other workflow recipes to establish vault grounding. Loads vault bootstrap (profile.md), checks inbox, and pre-warms project context if a topic anchor is implied. Repo/git detection lands with /plan and /implement.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- nexus-a1/claude-skillstheir own version, first seen Oct 17, 2026
- igmarin/rails-agent-skillstheir own version, first seen Jul 30, 2026
- ralphkrauss/agent-orchestratortheir own version, first seen May 2, 2026
- vishalmdi/ai-native-pm-ostheir own version, first seen Apr 23, 2026
- rustimacc/context-ledger-skillstheir own version, first seen Apr 15, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- vishalmdi/ai-native-pm-os★ 102same name
- igmarin/rails-agent-skills★ 26same name
- ralphkrauss/agent-orchestrator★ 4same name
- nexus-a1/claude-skills★ 1same name
- rustimacc/context-ledger-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- agent-reviewSkill
- capture-to-vaultSkill
- cleanup-artifactsSkill
- dispatch-explorationSkill
- open-draft-prSkill
- plan-fileSkill
- publish-prSkill
- repo-setupSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 1 is distinctive, and 4 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Call this once at the start of a workflow recipe to establish working context.
- Very specific: line 12
Call mcp__dossier-mcp__get_vault_context.
- Very specific: line 14
Call mcp__dossier-mcp__list_notes(path: "inbox").
- Very specific: line 16
If the user has supplied a research topic with a clear project anchor (e.g.
- Distinctive: line 20
No structured return value.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Load Context
Call this once at the start of a workflow recipe to establish working context. In /research, this is the vault grounding pre-step — it loads the context that informs downstream web queries.
Steps
- Call
mcp__dossier-mcp__get_vault_context. This loadsprofile.mdsilently — do not summarize or recite it. - Call
mcp__dossier-mcp__list_notes(path: "inbox"). If the inbox is non-empty, surface a one-line nudge to the user:Inbox has N notes — worth processing before we start? - If the user has supplied a research topic with a clear project anchor (e.g. "relocation healthcare costs" →
projects/relocation), callmcp__dossier-mcp__list_notes(path: "projects/<slug>")to pre-warm topic context. Skip if no anchor is obvious —vault-researcherwill find what it needs.
Output
No structured return value. Context loads into the conversation. The recipe continues to its next step.
Future scope (not in Phase 1)
- Repo / vault / mixed environment detection
git statussnapshot for the working dir
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.

