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Found 2,649 Skills
This skill should be used when the user wants to bulk-build ArcKit artefacts in parallel rather than running individual /arckit:* commands one at a time. Load whenever the task sounds like 'kick off a build', 'build everything', 'generate all artefacts', 'run all the commands', 'rebuild this project from scratch', 'resume the build', 'pick up where we left off', 'refresh the artefacts', 'run the recipe', 'build the whole project end-to-end', or 'parallel build', or mentions `--plan`, `--resume`, `--target`, `--refresh`, `--recipe`, or `.arckit/state.json`. The skill orchestrates parallel /arckit:* generation using subagent isolation: reads project state, computes the artefact dependency DAG, dispatches one subagent per target per wave (each subagent invokes a /arckit:* skill in its own context), validates outputs, commits the wave, and persists progress to .arckit/state.json for resumability.
Pull Bigdata.com (RavenPack) financial and news data through the official `bigdata-client` SDK and its public `/v1/*` REST endpoints when the Bigdata MCP server returns only pre-synthesized tearsheets but you need the machine-readable substrate underneath. MCP search returns prose chunks (text + relevance only — no per-chunk sentiment, no entity spans); its tearsheets give only aggregate values, not computable time series or per-field JSON. This skill bundles a verified, cost-guarded toolkit over the official REST API: annotated chunk search, entity/ISIN resolution, analyst estimates, calendar/surprise/ ratings/targets, financial statements, TTM metrics & ratios, prices, dividends, revenue segments, a daily entity-sentiment series, co-mention graph, screener, and batch search. Use it whenever the user mentions Bigdata.com, RavenPack, a `bd_v2_` key, the bigdata MCP, rp_entity_id, chunk/query_unit cost, or wants structured financials, fundamentals, prices, sentiment, or annotated news.
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".
Static source-code vulnerability scan. Reads a target directory (and THREAT_MODEL.md if present), spawns parallel review subagents per focus area, and writes VULN-FINDINGS.json + .md for /triage to consume. Read-only — no building, running, or network. For execution-verified crashes, use vuln-pipeline instead. Use when asked to "scan for vulns", "review this code for security issues", "find bugs in <dir>", or as the step between /threat-model and /triage.
Scan the host repo a set of agent skills is installed into and reconcile every installed skill's config.json with detected facts — base branch, monorepo package roots, changelog directory, Linear issue-key prefixes, review bots, protected branches — plus the Linear team name and workspace slug fetched via the Linear MCP. Use when first installing these skills into a repo, or to refresh the configs after the skill set or repo layout changes. Also emits a committed `.claude/skills.lock` inventory of installed skill versions, and ensures the preflight skill's `.preflight-summary.json` scratch output is gitignored. Idempotent and safe to re-run: it reconciles drift rather than clobbering deliberate manual edits, presents a dry-run diff first, and only writes after confirmation — preserving each config's key order and formatting so a no-op run leaves files byte-identical.
Run a change-gated, branch-scoped lint preflight (ESLint / markdownlint / actionlint) on the files a branch changes versus its base, classify each violation as introduced vs pre-existing, and drive the fix/defer loop via an exit-code contract (0 pass, 1 introduced/blocking, 2 pre-existing only). Use when asked to run preflight, check whether a branch will pass lint before pushing, or as the lint gate inside a ship/PR flow. Lints only the categories the branch touched — not a whole-repo lint — with linted workspaces and the base branch auto-detected, so a consuming repo configures nothing in the common case.
End-to-end retail ETL pipeline using Medallion Architecture (Bronze/Silver/Gold) with TSQL, PySpark, and Airflow for inventory, sales, and supplier data processing
Extract structured fields, original text locations, missing items, and supportable judgments from papers and supplementary materials. Use when the user asks for "extract this paper", "batch extract paper information", "create paper cards", or requests the rw-paper-extractor workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Structure a Godot 4.x project with the scene tree and node composition: build reusable scenes, instance PackedScenes at runtime, navigate the tree safely, and register autoload singletons. Use when designing .tscn scenes, deciding how to split nodes, spawning instances with instantiate(), wiring autoloads, or fixing "node not found"/freed-node errors in a Godot project.
Analyzes the repository's version control system (VCS) history to extract past vulnerabilities, security fixes, and vulnerability patterns. Use as an initial pre-processing step to build a historical vulnerabilities database (workspace/historical_learnings.jsonl) that informs subsequent stages about past issues and fixes. Don't use for code reviews, writing test scripts, or patching code.
Dispatch implementation tasks to agent teammates in git worktrees. Triggers: 'delegate', 'dispatch tasks', 'assign work', or /delegate. Spawns teammates, creates worktrees, monitors progress. Supports --fixes flag. Do NOT use for single-file changes or polish-track refactors.
Single adversarial review pass over the integrated branch diff — spec-compliance, code quality, and test adequacy judged together by one fresh-context reviewer. Triggers: /review, 'review the changes', or after delegation completes. Emits one verdict (reviews.review.status). Do NOT use for plan-review (that is its own dispatched gate) or for debugging.