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Found 150 Skills
Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.
Graduate a workflow insight from learned/<topic>.md into AGENTS.md as a permanent constraint. Use when a lesson is stable enough to apply to every future session.
Search across company knowledge with the Glean CLI. Use when finding documents, policies, engineering docs, or any information across enterprise data sources.
Post-task review. Extract learnings, classify, write to memory layers, and reconcile GitHub issues.
Search across company knowledge with the Glean CLI. Use when finding documents, policies, engineering docs, or any information across enterprise data sources.
Use this skill when generating higher-level synthesis notes such as literature reviews, comparison matrices, project summaries, or other cross-note summaries inside the project knowledge base.
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
Fast, zero-friction capture of technical findings from the current conversation to the wiki's _raw/ staging area. Use this skill when the user says "/wiki-quick-chat-capture", "quick capture", "capture this finding", "save this bug fix", "capture this gotcha", "drop this to raw", "quick save to wiki", or wants to capture a non-obvious discovery mid-session without a full wiki-ingest run. Writes one _raw/ file per topic cluster in under 60 seconds — no subagents, no QMD updates, no manifest writes. Run /wiki-ingest or /data-ingest later to promote raw files to proper wiki pages.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Inject relevant knowledge into session context from .agents/ artifacts. Triggers: "inject knowledge", "recall context", SessionStart hook.
Manage project context effectively. Use when onboarding, context switching, or maintaining project knowledge. Covers context capture and sharing.
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.