AI skill registry

How to cut a portainer-mcp release that bumps the embedded Portainer OpenAPI spec to a new Portainer minor (e.g. 2.41.x → 2.42.x). Walks through finding the upstream patch target, regenerating the spec, recounting ops/tags per profile, refreshing the orphan-tag inventory, bumping version pins across the README and distribution docs, promoting CHANGELOG entries, committing, pushing, merging to main, and tagging — in that order. Trigger this skill whenever the user mentions cutting a release, bumping the Portainer version target, supporting a new Portainer minor, regenerating the spec, running make specs for a new minor, or any phrasing like "let's update for Portainer X.Y" — the spec regen is only the first step of a multi-file release and the model should consult this skill before touching anything.

Controls facial expressions in Seedance 2.0 with FACS (Facial Action Coding System) Action Unit codes — muscle-level direction (AU12 = lip-corner puller, AU6 = cheek raiser) instead of emotion labels. Use whenever the user wants precise facial acting, a forced/uncanny/mixed expression, micro-performance in a close-up, monologue or dialogue facial beats, a 'which AU code for anger/fear/disgust' answer, or to generate a FACS reference sheet for a character. Pairs with higgsfield-soul Micro-Expressions (named expressions), higgsfield-audio (dialogue + lip-sync), and higgsfield-gpt-image-2 (the reference-sheet image).

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Diagnose IJFW integration health per platform. Trigger: 'doctor', 'check setup', /doctor

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.

Use when the user says: 'ijfw status', 'show me the system state', 'what is ijfw doing', or to see the at-a-glance routing / memory / activity banner.

Use when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video workflows.

Use when the user wants to run a full ad-campaign pipeline on top of Higgsfield Marketing Studio — 'create a campaign', 'build a content plan', 'run the content pipeline', 'generate 100 UGC videos', 'plan and schedule a launch', 'make a batch of ads from my product', or 'how much did this save vs traditional production'. Covers the 5-stage orchestration (Research → Plan → Generate → Publish → Report), the UGC-first 5-format campaign mix (UGC Entertainment, Street Interview, Unboxing, Product Review, ASMR), the even-split allocation math, button-driven onboarding, the per-batch generation gate, and the publish + cost-report tail (satellite). Defers all Marketing Studio API ground-truth (presets, params, hooks, avatars) to higgsfield-marketing-studio.

Analyzes the current implementation run — evaluates schema effectiveness, delegation alignment, note quality, and plan-to-execution fit. Captures cross-session trends and proposes improvements when patterns repeat. Use after implementation runs, or when user says 'retrospective', 'session review', 'what did we learn', 'analyze this run', 'how did that go', 'evaluate our process', 'wrap up', 'end of session review'. Also use when the output style's retrospective nudge fires after complete_tree.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Use when the user wants to create motion design, animate a logo, make a video from an image, build an animated ad or brand promo, turn a product into motion, or says 'make a motion', 'motion design', 'animate this', 'make a video from my logo', 'animated brand', 'motion graphics', 'brand motion', 'kinetic graphics', 'promo video', or 'ad video'. Drives a storyboard-first pipeline: brief → storyboard sheet (GPT Image 2) → video (Seedance 2.0) — an AI-generated pixel video clip. Distinct from higgsfield-motion (the named camera/motion preset library) and from higgsfield-vibe-motion (deterministic Remotion code with crisp text); use vibe-motion instead when the text/logo must stay perfectly crisp, editable, and deployable as code.

Guides the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review. Creates or resumes the feature container, fills gate-enforced notes at each phase (requirements, design, implementation-notes, test-results), dispatches implementation subagents, and advances through queue, work, and review to terminal. Use when the user says: implement a feature, start a new feature, feature workflow, resume feature work, guide feature lifecycle, or references a feature-implementation item UUID.

Guides users through professional filmmaking workflows in Higgsfield Cinema Studio, including creating multi-shot sequences, configuring optical stacks, applying color grading, managing Soul Cast AI actors, and structuring per-scene prompts with Director Panel camera movements. Use when the user mentions Cinema Studio, Cinema Studio 2.5, Cinema Studio 3.0, Soul Cast, color grading, multi-shot video, shot sequences, storyboard workflow, Hero Frame, optical stack, keyframe interpolation, Elements system (@Characters/@Locations/@Props), Speed Ramp, Director Panel, Higgsfield Popcorn, Single Shot / Multi-Shot Auto / Multi-Shot Manual modes, Reference Anchor, Smart shot control, or any professional filmmaking workflow inside Higgsfield.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Specification quality framework for planning. Defines the minimum bar for what a plan must address — alternatives, non-goals, blast radius, risk flags, and test strategy. Referenced by schema guidance fields during queue-phase note filling. Use when filling requirements or design notes for any MCP work item.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Assessment of plugin skill and hook changes needed after MCP or config changes. Evaluates skill references, hook context, config-format docs, and output style references. Invoked via skillPointer when filling plugin-impact notes.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Writes, improves, or rewrites Seedance 2.0 prompts that TRANSFORM footage the user already has (video-to-video), rather than building a scene from scratch. Use whenever a real clip is the starting point and they want to: add a VFX element (set a head or hair on fire, transform a hand, make a limb invisible), swap the environment around a preserved subject (desert, clouds, lava, a neon city), drop a giant photoreal creature behind or onto a subject/landmark, relight or regrade so subject and added elements read as one shot, sync a crash-zoom or push-in to a spoken line or timecode, or generate a matching transformed start frame to animate from. Also use when they paste such a prompt and ask to change its lighting, timing, creature, or runtime, or say 'make a Seedance prompt for this video' with a clip attached. This is the video-to-video specialization; for a brand-new scene from image references with no source clip to preserve, higgsfield-seedance applies instead.

End-to-end release automation — reads commits since last tag, infers semver bump, drafts changelog, creates release PR, merges it, waits for CI green, tags, and monitors the Docker build to completion. Use when the user says: prepare release, cut a release, bump version, create release PR, ship a new version, tag a release, deploy new version, or when all feature PRs are merged and it is time to release.

Pre-production story-and-character development for Higgsfield projects — the upstream layer that decides WHAT to prompt before any model runs. Use when the user wants to build a character, design a world, develop a story or premise, create a character sheet / character bible / story bible, lock a visual style or 'visual DNA', plan a multi-shot narrative with consistent characters, or says things like 'help me design a character', 'build the world', 'I need a backstory', 'make this character consistent across shots', 'develop my film/series concept', or 'I keep getting generic AI characters'. Routes the locked outputs into higgsfield-prompt + the right model. Adapted from Higgsfield's official character-design framework by @vavavinca.

Claude AI skill for cinematic Higgsfield AI prompts — 20 sub-skills covering Cinema Studio 2.5/3.0/3.5, MCSLA formula, Soul ID character co…

Performance impact assessment for items with the needs-perf-review trait. Evaluates hot paths, query patterns, and measurement plans. Invoked via skillPointer when filling performance-baseline notes.

Turns a brief, script, scene breakdown, treatment, or story idea into ONE connected director's shotlist for Seedance 2.0 — a single editable HTML artifact with a global Style Prefix, an @-asset glossary, and named per-scene prompts (1a, 1b, 2a…) each in Style → Characters → Scene → CUT 1..N form. Use whenever the user says 'make a shotlist', 'break this script into prompts', 'generate Seedance prompts for this ad/film', 'turn this brief into a shot list', 'director's shotlist', or wants many connected scene prompts rather than one. Also use to revise an existing shotlist (edit-once-propagates: 'change the style prefix everywhere', 'rewrite scene 4', 'split prompt 6'). Each prompt targets 15s; longer scenes split across 1a/1b/1c under one scene number.

Review quality framework for the work-to-review transition gate. Guides verification of plan alignment, test quality, and code simplification before marking implementation complete. Referenced by schema guidance fields during review-phase note filling. Use when filling review-checklist notes or when asked to review completed implementation work.

SQLite migration assessment for items with the needs-migration-review trait. Evaluates schema changes, table recreation patterns, data migration strategy, and Flyway migration correctness. Invoked via skillPointer when filling migration-assessment notes.

Compare evaluated runs in a retort experiment along factor dimensions. Surfaces effects of each factor, aggregates across replicates, and highlights cells that diverge qualitatively — complementing (not replacing) retort's ANOVA analysis.

End-to-end workflow for taking MCP work items from backlog to merged PR. Handles git branching, schema-driven planning, implementation, independent review, and PR creation. Composes spec-quality, review-quality, and schema-workflow skills into a single pipeline. Use when a user says "implement this", "work on this item", "fix these bugs", "pick up the next task", "create a PR for this", "go through the backlog", or references specific MCP item IDs for implementation.

A股“MACD底背离 + 零轴下二次金叉”实战分析与交易执行技能。用于把用户的盘感描述转成可执行的三档决策（上观察名单/可试错出手/必须放弃）、盘中检查单、入场与风控规则。适用于用户提到“二次金叉”“水下二次金叉”“底背离”“第一脚第二脚”“回踩验底”“MACD背离”“抄底修复”“想做但怕假信号”等场景。

Summarize the architecture of code generated by a single retort run. Produces module-level structure, interfaces, and control flow in a form suitable for cross-run comparison — not a full codebase-summary.

Determine the TRUE cause of a failed retort run before attributing it. Ground-truth every failure (run its tests, read its agent logs, inspect its workspace) and classify it as an infrastructure false-fail, a genuine model miss, or an environment issue — never trust the gate verdict or a log signature alone. Use whenever a run is recorded failed (test_coverage=0 / gate fail), a pass rate looks low, or you're deciding whether a "failure" is real before reporting or proceeding.

基于退哥短线交易规则的A股场景化决策技能。Use when 用户要按交易场景查看短线规则、做选股、判断趋势回踩、涨停回调、连板接力、洗盘结束、卖出失效或仓位纪律。

Refresh the data tables in optimal-blog.md from master.db. Checks the data for integrity problems FIRST, then runs the generator that picks per-language winners and splices every GEN-marked table, then reconciles the surrounding prose. Use after new experiment results land, or when the optimal-blog numbers are stale.

A股模拟盘交易与回测技能。Use when 用户要启动模拟仓服务、创建多账户、下限价单/市价单、撤单、查询持仓资金、验证涨跌停成交逻辑或运行A股回测。

Aggregate a retort run's findings.jsonl into a machine-readable assessment.json summary with severity counts, penalty score, requirement coverage, and top findings.

查询A股实时行情、历史数据、技术指标、事件、资金面、热门行业/概念、板块热力图与个股行业信息。Use when 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业。

基于“均线定方向，MACD定节奏”的A股选股与交易计划技能。Use when 用户要求把均线与MACD结合做选股、筛票、盘前候选池、趋势跟随、回踩再上、金叉确认、顶背离减仓、或希望把技术判断沉淀成可执行规则与风控模板。

Evaluate a single retort experiment run. Score the generated code against the task's TASK.md requirements, run its build and tests, compute metrics, and emit a structured evaluation report plus a machine-readable findings file.

Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.

Use when the cardputer MCP tools (notify, ask, confirm, show, progress) are available in the session, or the user mentions their Cardputer / handheld / "buzz me" / "page me". Governs runtime etiquette for the pocket device — mandates a physical confirm gesture before irreversible operations (passing the real action diff as details), buzzes the device on completion of long tasks, asks quick questions when blocked and the user is away from the keyboard, shows ambient status for long work, and formats all device output for the 240×135 LCD. This is the behavioral counterpart to the cardputer MCP server: the server is the hands, this skill is the manners. Trigger even when the user doesn't name the skill — if the cardputer MCP tools are registered, these rules are in force.

End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device — detect it on USB, identify the exact model, flash UIFlow 2.0 firmware, and install a MicroPython app bundle (e.g. the Claude Buddy + Hello + Snake payload) so the device boots into user software instead of UIFlow's pairing screen. Works on macOS, Linux, and Windows; Python, esptool, and pyserial are auto-installed by the skill if missing. The apps we ship run over BLE / USB. Use this skill whenever the user mentions an M5Stack, M5Core, M5Stick, Cardputer, Cardputer-Adv, CoreS3, Core2, UIFlow, "flashing" or "provisioning" an ESP32 dev board, or plugs in "a new device" after previously working with M5Stack hardware. Also use it if the user asks to push app .py files onto an already-flashed device, install "the games" or "buddy" onto a board, or reset one to factory UIFlow. Trigger even when the user doesn't explicitly name the skill — "I have another one of these", "same thing for this device", "put the game on this one too", "m5-onboard", or the canonical provisioning shorthand "m5-onboard go" all count.

Specialized guide for adding new MCP tools to the UniFi MCP Server following project standards, UniFi API patterns, and test-driven development practices. Use when implementing new UniFi Network Controller features as MCP tools.

Use when creating or modifying Model Context Protocol (MCP) servers with FastMCP framework - guides through tools, resources, prompts, authentication, Claude Desktop integration, and production deployment with Python and TypeScript examples

PROACTIVELY track and document project design decisions without being asked. Activate automatically when detecting architecture discussions, implementation decisions, pattern choices, library selections, or any technical decisions. Also use when user explicitly says "record this", "what's our design status", or equivalent. Do NOT wait for user to ask - record important decisions immediately.

Simplify and refactor code while preserving functionality and library constraints.

Research a library and create comprehensive documentation in .claude/docs/libraries/.