Skills directory · page 48

Translate owned plainspoken text artifacts one way from United States English (en-US) to France French (fr-FR), preserving source voice, meaning, protected tokens, structure, and the pair-specific dictionary. Use only after any specialist register has separately been mediated into plain en-US. Do not use for another pair, a register conversion, reverse translation, generic copyediting, or machine-only publication.

Review one or more project inbox items and assign a recorded lifecycle disposition. Use for inbox sweeps, duplicate resolution, grouping related captures, activating an effort, identifying a graduation candidate, archiving, or requesting owner input. Do not publish or move work outside the project.

Draft an X reply, called a Twitter comment in this family, to a supplied post and conversation. Use when the user wants to reply on X, answer a tweet, join an existing X thread, request feedback, or report public progress. It keeps the parent context and reply visibility in view, then returns a draft only. Do not use for a new standalone post or publication.

Draft an X post using the portable name Twitter. Use when the user asks for a tweet, X post, concise Twitter update, quote text, standalone build log, or a thread opener. It writes one evidence-locked post for a named account and returns a draft only. Do not use for replies, posting automation, or assuming X Premium features.

Generate and refresh Mermaid visual sitemaps from search indexes. Use when a site's universe map drifts after crawling, indexing, or adding pages, or when multiple sibling sites need consistent navigation diagrams. Includes a Python generator, templates, good and bad examples, and Mermaid tool guidance. Does not infer project completion from page existence or deploy sites.

Fetch or integrate scripture passages from Judaism, Christianity, or Islam through the ARE free anonymous providers. Use for verse lookup, API endpoint and reference-format questions, translation IDs, normalization, attribution, error handling, fallback routing, or denomination-aware scripture UI work. Covers Sefaria, bible-api.com, Quran.com with AlQuran.cloud fallback, and LDS Standard Works routing. Never invent text or silently change translations.

Generate, validate, normalise, and explain Mermaid-native bpmn-beta diagrams from a Process Narrative Specification. Use this skill when the user wants to convert a PNS or process notes into a visual diagram; when they ask for BPMN, a process flow, a swimlane diagram, or a workflow diagram; when they want to validate or repair existing bpmn-beta code; when they mention pools, lanes, gateways, tasks, events, or BPMN 2.0; when they want a Mermaid-native process model they can commit to a repo; when the PNS has three or more gateway decision points and a DMN decision table is warranted. Do not use it for a non-BPMN diagram type (flowchart, sequence, ER) — use standard Mermaid syntax for those instead. Produces bpmn-beta.mmd and, optionally, a rendered process-model.svg.

OverKill Hill P³ Vite-to-GitHub-Pages deployment runbook. Use when deploying or troubleshooting this React/Vite app, its Actions workflow, /abrahamic-reference-engine/ production base, BrowserRouter basename fallback, dist artifacts, build validation, or Pages environment variables. Also activate for subpath asset failures or SPA refresh diagnosis. Do not use for gh-pages branches, backend hosting, or unrelated UI work.

Create or renew an evidence-grounded voice, tone, and glossary knowledge file from an authorized writing corpus. Use for a baseline, quarterly or annual update, or correction across audiences. It does not write a social post, certify identity, infer private traits, or publish a profile.

Draft a YouTube comment or reply from supplied video and conversation context. Use when the user wants to respond to a viewer, answer feedback, add a correction, or join a discussion below a video or channel post. It returns draft text only and does not reply, heart, pin, hide, or moderate comments.

Draft a YouTube channel post or participant Community post from supplied destination context. Use for text, image, video, poll, or quiz posts that need a platform-native prompt and audience boundary. It prepares a draft only and does not test eligibility, schedule, or publish.

Draft a YouTube video publishing brief and metadata bundle from supplied video facts. Use when the user needs a title, description, chapters, CTA, or disclosure and setting handoff for a YouTube video or Short. It prepares text only and does not upload, edit, schedule, or publish a video.

Build Solana trading and intelligence applications combining OKX DEX aggregation with Helius infrastructure. Integration-only layer — describes when and how to compose OKX tools with Helius tools for swaps, token discovery, smart money signals, meme token analysis, and portfolio intelligence.

Build Solana trading and intelligence applications combining OKX DEX aggregation with Helius infrastructure. Integration-only layer — describes when and how to compose OKX tools with Helius tools for swaps, token discovery, smart money signals, meme token analysis, and portfolio intelligence.

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

Run long OMP (`omp -p`) jobs headlessly so they survive the session that dispatched them — detached tmux, NDJSON event log, polled completion, session-id recovery. Use when delegating a repo task that will run more than a couple of minutes, when the orchestrating chat/session may restart, or when recovering a run that was killed mid-turn. Do not use for a two-minute command (run it inline) or for work that needs live steering (that is a TUI session).

Use for /cs-onboard, or when the virtual C-suite lacks company context. Interviews the founder and writes ~/.claude/company-context.md.

Use when activation, time-to-value or a first-run experience after signup needs work, before redesigning it. Finds the activation drop-off with activation_funnel_analyzer.py.

When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," or "new user experience." For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.

Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.

Read bank account balances and transactions from EU/UK banks via the open-banking.io PSD2 API. Use when the user wants to check balances, list recent transactions, categorise spending, or reconcile payments across European bank accounts — without eIDAS certificates or an AISP licence.

Open the pull request for the branch you are working on in the browser via `gh pr view --web`. Trigger when the user says: "PRを開いて", "PRをブラウザで", "PRを見せて", "open pr", "open the PR", "show me the PR", or similar phrases requesting to open the working pull request in the browser.

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

Generate a complete, production-ready application from an OpenAPI specification

Converts OpenAPI 3.0 JSON/YAML to TypeScript interfaces and type guards. This skill should be used when the user asks to generate types from OpenAPI, convert schema to TS, create API interfaces, or generate TypeScript types from an API specification.

Forge a complete lobster soul scheme for an OpenClaw AI Agent. Based on user preferences or random gacha, output identity positioning, soul description (SOUL.md), role-based bottom-line rules, name, and avatar image generation prompts. If the current environment provides an approved image generation skill, a unified-style avatar image can be automatically generated. Use when users need to create, design, or customize an OpenClaw lobster soul. Not applicable to: fine-tuning an existing SOUL.md, character design for non-OpenClaw platforms, or purely tool-type Agents without personality. Trigger words: lobster soul, shrimp soul, OpenClaw soul, raising shrimp soul, lobster character, lobster positioning, lobster murder mystery character, lobster game character, lobster NPC, lobster personality, lobster background story, lobster soul, lobster character, gacha, random lobster, lobster SOUL, gacha.

Forge a complete lobster soul package for an OpenClaw AI Agent. Based on user preferences or random gacha draws, output identity positioning, soul description (SOUL.md), role-based bottom-line rules, name, and avatar image-generation prompts. If the current environment provides an approved image-generation skill, automatically generate a unified-style avatar image. Use when the user needs to create, design, or customize an OpenClaw lobster soul. Not applicable to: fine-tuning an existing SOUL.md, character design for non-OpenClaw platforms, or purely tool-type Agents without personality. Trigger words: lobster soul, shrimp soul, OpenClaw soul, raising shrimp soul, lobster character, lobster positioning, lobster murder-mystery character, lobster game character, lobster NPC, lobster personality, lobster background story, lobster soul, lobster character, gacha, random lobster, lobster SOUL, gacha. Use when creating, designing, or customizing an OpenClaw lobster persona — identity, SOUL.md, name, or avatar prompt.

オープンソースパイプライン: プライベートプロジェクトをフォーク、サニタイズし、安全な公開リリースのためにパッケージ化する。3つのエージェント（フォーカー、サニタイザー、パッケージャー）を連鎖させる。トリガー: '/opensource'、'open source this'、'make this public'、'prepare for open source'。

Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'. Use when a private project must be forked, stripped of secrets, and packaged for public release.

Open-source pipeline: fork, sanitize, and package a private project for safe public release. Chains 3 agents (fork agent, sanitize agent, package agent). Trigger words: '/opensource', 'open source this', 'make this public', 'prepare for open source'.

Initialize or repair OpenSpec in the current repo for the /la:pr flow. Ensures the openspec CLI is available (global install, npx fallback), scaffolds openspec/ with `openspec init --tools none` (corpus only, no /opsx:* commands), and verifies. Invoked by /la:pr when openspec/ is absent or invalid, or run directly.

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

Lab automation platform for Flex/OT-2 robots. Write Protocol API v2 protocols, liquid handling, hardware modules (heater-shaker, thermocycler), labware management, for automated pipetting workflows.

Operator approval contract with internal filing notices for agent-drafted outbound messages, hashed drafts, epoch-keyed decisions, durable delivery claims and receipts, and a pre-draft baseline gate. Use when an agent drafts messages to external counterparties and a human operator must approve, reject, or steer each send before it leaves.

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next.

Turn a statement about a scheduled job, a repair, or a deployment into evidence before it reaches the operator or a teammate: find the surface that actually records the claim, separate a manual reproduction from the scheduled run, and treat an external auditor's verdict as a claim set. Use when verifying a cron result, a "fixed" claim, a CI/review-bot gate, or a batch status report about an environment. Not for auditing the contents of a written report, and not for accepting a teammate's delivery — those are separate passes.

Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.

Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.

Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices.

Orchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.

Orchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.

Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.

Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change.

Orchestrate delegated research or implementation with Claude or Codex agents. Default to Claude in Claude Code and Codex in every other harness. Follow an explicit user choice of agent or model. Plan and launch without a separate plan approval step.