Development skills

Datadog provider for obz. Supports metrics (Datadog Query Language), logs (Datadog Log Query), and traces. Requires api-key and app-key configured under auth in config.yaml. Does not support metric labels, label-values, or series commands. This skill should be used when the user mentions "Datadog", "DD", "obz -p dd", Datadog Query Language, or needs to configure Datadog provider instances with regional endpoints.

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VictoriaTraces provider for obz. Covers trace search, trace retrieval by ID, and extension commands for service and operation discovery via the Jaeger-compatible HTTP API. This skill should be used when the user mentions "VictoriaTraces", "obz trace -p vt", or needs to search distributed traces from a VT backend.

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GreptimeDB provider for obz. Covers PromQL metric query, labels, label-values, and series commands via GreptimeDB's Prometheus-compatible API. Use this skill when the user mentions "GreptimeDB", "Greptime", "obz metric -p greptimedb", or needs to query metrics stored in a GreptimeDB instance.

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Fetch the team's shared skills — reset each disposable team clone to origin/main — and show the outcome per team as a Markdown board from the terum-skills CLI. Use when the user wants the newest catalogue, receipts or roster before listing, searching or installing.

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Show the state of terum-skills on this machine — team, clone, session hook, pending work, machine facts — and whether a newer CLI release exists, as Markdown boards. Use when the user asks whether terum-skills is set up, in sync or up to date, or when something about it seems off.

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Drive the terum-skills CLI from a Claude Code or Codex session: run any verb with --format md and show its board — inspect the Library or the team Marketplace, search, fetch with sync, validate or fix a local skill, install the latest version into Global or an added project, publish a local skill as an immutable version, manage the eval queue — and prepare the verbs that belong in a terminal (project setup, skill move/copy/rename/delete, prune, reconcile, machine uninstall, team administration). Use when the user wants to manage, evaluate, publish or install skills and no narrower terum-skills skill fits.

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List the skills on this machine (your Library) and the skills your team shares (the Marketplace) as Markdown boards from the terum-skills CLI. Use when the user asks what skills they have, what the team shares, what is installed, edited, untracked or missing an eval, or wants an overview of their terum-skills state.

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Use when working with the Racket backend, adding or modifying RPC methods, or understanding the Racket-Swift communication layer. Covers define-rpc, Backend.swift codegen, and the Noise RPC framework.

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Operate and debug the DNS C2 system non-interactively. This skill should be used when Claude needs to launch an exploit, send commands to a compromised session and collect output, diagnose why a payload is not calling home, or inspect C2 server state. Triggers on requests like "run the exploit", "send whoami to the session", "why isn't the payload calling back", "check what sessions are active", or "debug the C2".

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chrome-devtools-mcp launcher — a single bash script that resolves Playwright's bundled Chrome-for-Testing and Node.js directly through Nix. See repo README for usage, override mechanisms, and version compatibility.

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Review code for quality, simplicity, and common mistakes before declaring work complete.

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odu MCP server launcher — drive CI from a coding agent. `bin/serve` resolves odu via Nix and runs `odu mcp` in the cwd. See the repo README for the tools/resources and override knobs.

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Write engaging PR titles and descriptions for any forge (GitHub today; Bitbucket planned). Use when creating or updating PRs. Leads with narrative paragraphs and reaches for lists, tables, and diagrams when content is genuinely structured.

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Use when diagnosing a failed or stalled Shipfox workflow run, or an event that did not start one.

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ALWAYS use this skill when creating pull requests. Applies Shipfox agent sequencing for GitHub CLI review preparation and pull-request creation. Trigger on create PR, open PR, submit PR, make PR, push and create PR, or prepare changes for review.

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Search and explore an Obsidian vault through the NoteBrain CLI (semantic search, tags, backlinks, connections, hidden links, boosted retrieval). Use it whenever the user mentions their notes, knowledge base, Obsidian vault, semantic search, finding connections or unlinked notes, or asks exploratory questions like "what do I know about X", "find notes related to Y", "what connects to Z", or "summarize my notes on W" — even when they never say NoteBrain, vector search, or ChromaDB.

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Use when you need to resolve an in-progress git merge/rebase conflict.

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Execute git commits using the Conventional Commits specification. Use this skill whenever the user says "commit", "git commit", "/commit", "stage and commit", "make a commit", "save my changes", or asks to commit specific files or all changes. Also triggers on phrases like "push my changes" (commit first), "commit everything", "commit with message X", or whenever git diff/status suggests uncommitted work the user wants to save. Handles auto-staging, diff analysis, message generation, breaking change detection, batch splitting of unrelated changes, safe pushes, and pre-commit hook failures gracefully. Always use this skill rather than ad-hoc git commit commands.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Build with DeepSeek's models — efficient open-weight reasoning models and low-cost API inference.

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Program language models instead of prompting them — DSPy signatures, modules, and optimizers that tune prompts automatically.

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Build with DeepSeek Coder — open code models with strong reasoning and long-context code understanding.

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Screening for drug-drug interactions — mechanistic prediction, database checks, and clinical risk assessment.

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Read, write, and debug cron expressions with field reference, scheduling logic, and common patterns.

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