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Found 306 Skills
Detect and classify candlestick patterns from ingested OHLCV data
Use when Obsidian note automation runs in cron/headless environments and obsidian-cli emits URI failure signatures (for example, `Failed to execute Obsidian URI`) that may not set a non-zero exit code. Detect false-success cases, fallback to deterministic markdown file writes, and record traceable fallback paths in run artifacts.
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory.
Index directory for automatically learned skills from execution feedback
Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
Subscribe to AI and tech RSS feeds and persist normalized metadata into SQLite using mature Python tooling (feedparser + sqlite3). Use when adding feed URLs/OPML sources, running incremental sync with deduplication, and storing entry metadata without full-text extraction or summarization.
Do the work. Pre-flight, build, detect drift, salvage if needed. Use when you have a clear aim and are ready to implement.
Standardized artifact creation via tk tickets. Use whenever a skill needs to persist output — research findings, plans, postmortems, reviews, design specs, decisions. Replaces all bespoke output directories (.oracle/, .plans/, etc.) with a single canonical system.
Save complete conversation as checkpoint. Only when user explicitly requests ("save session", "checkpoint this"). Use nmem t save to automatically import coding sessions.
Capture and persist lessons learned from a session to compound knowledge over time. Triggers on "/lessons-learned", "what did we learn", "save lessons", "update skills with what we learned", or at the end of a complex multi-session task. PROACTIVE USE: This skill should also be suggested or invoked (1) when resuming from context compaction (the previous context likely contained unrecorded lessons), (2) after resolving a non-trivial bug or debugging session, (3) after significant friction or failed approaches that yielded insight, (4) after a council-of-bots review that surfaced fixes. Identifies reusable patterns, bug fixes, workflow insights, and tool quirks, then persists them to the right places: auto-memory (project-specific), skill files (reusable across projects), or both.
Build the initial design structure from a vague or partially formed idea. Use when the task lacks a clear design tree, scope boundaries, core objects, key flows, or explicit decision points. Trigger when the user has an idea, feature request, or system goal that needs to be turned into a structured design skeleton before deeper refinement. Do not use when the design tree already exists and the main need is to deepen or validate it.