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QS

Community

@QSchlegel

20Followers
|
34Public Repos
|
12Published Skills

mail@quirinschlegel.com

Skills Distribution
DomainDeveloper To...Session Analytics .. (35%)Token Cost & Deliv.. (25%)Team Collaboration.. (25%)Repository Configu.. (15%)

Agent Skills by QS

Showing 12 vetted skills indexed across 1 GitHub repositories.

QSchlegelQSchlegel

qfeed

Files gated findings as tasks into a team queue via the session-viz tasks API.

Community
Intermediate
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qsetup

Connects a machine to a session-viz workspace via browser-based OAuth sign-in.

Community
Intermediate
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qteam

Resolves Obsidian wikilinks across federated vaults and manages task handoffs via the session-viz MCP server.

Community
Advanced
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qruns

Audits scheduled runs and subagents from local Claude Code, Codex, and Cursor transcripts.

Community
Intermediate
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qpact

Analyzes the current Claude Code session and renders an interactive HTML report with a tuned /compact instruction.

Community
Advanced
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qdoctor

Audits a repository's Claude Code configuration against the user's other repos.

Community
Intermediate
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qship

Detects repeated prompts across sessions and generates slash command files for recurring rituals.

Community
Intermediate
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qtrends

Analyzes Claude Code session transcripts for friction trends and renders an interactive HTML report.

Community
Advanced
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qshare

Share selected projects, sessions, or runs with a workspace after privacy review.

Community
Intermediate
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qbl

Files and retrieves project backlog items with explicit ordering criteria and dependency tracking.

Community
Advanced
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qcontrib

Sends a local delivery ledger as nine bounded, privacy-redacted columns to a shared reference endpoint.

Community
Intermediate
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qcost

Analyzes token spend across agent runs, separating cache-read from generated output costs.

Community
Intermediate

Frequently Asked Questions About QS

FAQPage Schema
What tasks can I perform with QS's skills?▼

You can analyse Claude Code sessions for prompting quality and friction, track token spend by cache-read versus generated output, inspect a delivery ledger of scheduled runs and subagents, convert repeated prompts into slash commands, manage a bidirectional backlog, and hand tasks between teammates via shared Obsidian vaults.

Who are these skills designed for?▼

Individual engineers and teams running Claude Code locally who want visibility into session quality, token costs, and autonomous run outcomes. Team leads benefit from qteam, qshare, and qfeed for federated vaults, controlled sharing, and gated task queues across projects.

How do the skills handle privacy and sharing?▼

Nothing is shared by default. qshare requires explicit opt-in per project, session, or run, and qcontrib transmits only nine bounded columns — task class, ISO week, terminal state, and log2 token buckets — with no prompts, paths, repo names, or fine-grained timestamps.

How does authentication and setup work?▼

qsetup connects a machine to the session-viz workspace through browser sign-in only; no token is ever typed, pasted, or shown in the terminal. Most commands are invoked explicitly via slash commands, while read-only stdout skills like qruns, qdoctor, and qcost are model-invocable.

Which skills are read-only versus write or network operations?▼

qruns, qdoctor, and qcost only read the local machine and print to stdout, so they are model-invocable. qpact and qtrends open browser previews, qship --write creates command files, and the five network commands (qsetup, qteam, qshare, qfeed, qcontrib) require explicit slash invocation.