「facts」の検索結果

Write a technical tax position memo that documents a tax filing position with authorities, facts, analysis, and conclusion. Use when a tax professional says "write a tax memo", "document this tax position", "research memo for the partner", "we need to support this deduction", "document the tax treatment", "write up the authority for this position", "technical memo on [tax issue]", "MLTN analysis", "reasonable basis memo", "document the IRC section that supports this", or needs to formally document a tax conclusion. Also trigger when someone has a tax question that needs a written conclusion backed by legal authority - even if they don't use the words "tax memo" or "tax position".

日本語の概要は準備中です。原文の説明を表示しています。

Set a repo up to prove engineering-task work actually works before it ships. Investigates the repo, ensures a one-command dev stack (`dev-local`) exists, asks whether verification runs locally or in a sandbox (crabbox), confirms/installs the driver (the `playwright-cli` skill for web by default). Outputs three artifacts: a committed `/verify` skill (per-task verification SOP — spawn a verifier sub-agent → drive the app → screenshot/video proof → open a PR with the proof embedded), the `/dev-local` skill + script, and the installed driver skill. Use when someone says "set up verification", "make this repo verifiable", "scaffold a verify skill", "set up the verifier".

日本語の概要は準備中です。原文の説明を表示しています。

Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds overconstraint, conflicting instructions, redundancy, stale facts, and missing "unknown knowns"; produces a scored findings report with concrete rewrites, then applies approved fixes. Use when someone says "audit my CLAUDE.md", "context audit", "unhobble this repo", "review our agent docs/skills/tools", or after upgrading to Claude 5-generation models.

日本語の概要は準備中です。原文の説明を表示しています。

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and evidence-backed explanations. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".

日本語の概要は準備中です。原文の説明を表示しています。

Cut a Yuzu release end-to-end. Runs preflight checks, validates compose-file version pins, pushes the tag, monitors the release workflow until artifacts publish, troubleshoots known failure modes (artifact download bugs, version mismatch, Windows signing, macOS notarization), verifies the GitHub Releases page has every expected asset including the Compose Wizard zip, and produces a release record. Use when the user says "/release vX.Y.Z" or asks to cut a release.

日本語の概要は準備中です。原文の説明を表示しています。

PM (Project Manager / Scrum Master) agent. Reads BA and TechLead artifacts and produces sprint plan, task breakdown, and story point estimates. Creates one tracked todo/checklist item per sprint task for live pipeline tracking (FR-42). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

PM (Project Manager / Scrum Master) agent. Reads BA and TechLead artifacts and produces sprint plan, task breakdown, and story point estimates. Creates one TodoWrite entry per sprint task for live pipeline tracking (FR-42). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

BA (Business Analyst) agent. Analyzes requirements and produces 4 artifact files: requirements.md, user-stories.md, acceptance-criteria.md, business-rules.md. Use --srs to load from SRS workflow artifacts (spec.md / brainstorm.md). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

TechLead (Senior Technical Lead) agent. Reads all BA artifacts and produces system architecture, technology stack, ERD, sequence diagrams, and ADRs. Declares Gate 1: Design Freeze. Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

QA/QC agent. Reads ALL pipeline artifacts (BA + TechLead + PM + BE + FE + Tester) and produces quality-report.md, compliance-check.md, and sign-off.md. Declares Gate 3: Release Sign-off (advisory only — operator has final authority). Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

FE Dev (Frontend Developer) agent. Reads BA + TechLead + PM + BE artifacts and generates frontend source code files and pr-description.md. Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

BE Dev (Backend Developer) agent. Reads BA + TechLead + PM artifacts and generates backend source code files, .env.example, and pr-description.md. No hardcoded credentials. Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Tester agent. Reads ALL preceding artifacts (BA + TechLead + PM + BE + FE) and produces test plan, test cases (unit/integration/e2e), and bug report template. Declares Gate 2: UAT Readiness. Part of the Virtual Team Skill pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Build Salesforce-anchored personas and journey maps where every persona ties to a Permission Set Group, primary record types, list views, dashboards, automation, and a measured mobile/desktop posture, and journeys walk each task end-to-end with friction tags that drive UX decisions. NOT for stakeholder authority / RACI (use admin/stakeholder-raci-for-sf-projects), NOT for system-side process flows (use admin/process-flow-as-is-to-be), NOT for Lightning page design itself (use admin/lightning-app-builder-advanced or the lightning-record-page-auditor agent), NOT for pure design / UX research disconnected from org artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

Specify a FlexCard before a developer opens Card Designer: the card-state set and the condition that selects each state, the data source type behind each card (DataRaptor, Integration Procedure, Apex remote, SOQL), the action menu users get (navigate, launch OmniScript, Apex, DataRaptor), and every embedded child FlexCard or custom LWC. Produces the artifacts a BA hands to the builder. Trigger keywords: FlexCard requirements, FlexCard BA, FlexCard layout design, FlexCard data sources, FlexCard actions, FlexCard card states, OmniStudio FlexCard scoping. NOT for building the card in Card Designer, NOT for OmniScript step and branching requirements (use admin/omniscript-flow-design-requirements), NOT for standard Lightning record-page component requirements.

日本語の概要は準備中です。原文の説明を表示しています。

Produce or review API contract documentation for Salesforce integrations: versioning policy artifacts, request/response schema specs, error code catalogs, rate limit documentation, OpenAPI generation for sObjects. Trigger keywords: Salesforce API versioning policy, API end-of-life policy, document API endpoints, REST API rate limits, OpenAPI sObjects, API contract record, error contract, errorCode catalog, 410 GONE retired API version, HTTP 300 external ID upsert, idempotency key, deprecation notice, composite subrequest limit. NOT for building the endpoint or writing the Apex REST service — use apex/apex-rest-services. NOT for upgrading the API version on your own Apex, LWC or sfdx-project.json — use devops/api-version-management.

日本語の概要は準備中です。原文の説明を表示しています。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

日本語の概要は準備中です。原文の説明を表示しています。

Run work as an explicit event-driven state machine executed by subagents. The orchestrator is the runtime from the canonical loop — `state, effects = init(machine); execute(effects); while state is active: event = nextEvent(); state, effects = transition(machine, state, event); execute(effects); return state.output`. All routing judgment is authored ONCE, at plan time, into a machine file (states, event alphabet, transition table, budgets, final states); at runtime the orchestrator does pure table lookups and dispatches effects — it never decides, never authors, never ingests artifacts. Subagent/sync protocol is the timeboxed-iterating one: role prompts scaffolded once to disk and dispatched BY PATH, an initialiser preamble every subagent reads first, a self-populating cheatsheet, per-unit files, tiny structured returns, independent measurement gate. Use when the user says "workmachine", "run this as a state machine", "state-machine this", or when a goal has a small number of clearly named phases with explicit outcomes (built / passed / failed / blocked) and you want the routing to be auditable rather than judged on the fly. For clock-driven loops use timeboxed-iterating; for wide graphs with judged edge criteria use workgraph.

日本語の概要は準備中です。原文の説明を表示しています。

Create custom modules for [Harbor Boost](https://github.com/av/harbor/tree/main/boost), an optimizing LLM proxy. Use when building Python modules that intercept/transform LLM chat completions—reasoning chains, prompt injection, structured outputs, artifacts, or custom workflows. Triggers on requests to create Boost modules, extend LLM behavior via proxy, or implement chat completion middleware.

日本語の概要は準備中です。原文の説明を表示しています。

Crystal and gemstone expert covering traditional associations, chakra systems, and metaphysical properties alongside geological facts

日本語の概要は準備中です。原文の説明を表示しています。

Saves learning notes from the current conversation. Classic mode makes concise notes, Mastery mode keeps detailed training artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

Use the Skmtc CLI to scaffold projects, install or clone generators from JSR, configure schema sources and enrichments, and produce code artifacts from an OpenAPI v3 or GraphQL SDL schema. Teaches the workspace mental model (`<root>/.skmtc/<project>/`, client.json, bundle, manifest) and the agent contract (strict text / strict JSON modes, exit codes, recipe errors, `agent-context` + `doctor`); the command surface itself is discovered from the binary — `skmtc --help`, `skmtc <cmd> -h` — rather than carried in this skill. Use this skill when the user asks to "run skmtc", "generate code from an OpenAPI schema", "install a skmtc generator", "scaffold a skmtc project", "watch a skmtc project", "configure enrichments", "publish a stack", "deploy to skmtc-hub" (the command is `publish`; there is no `deploy`), "skmtc in CI", or invokes any CLI subcommand. For *authoring* a generator package (Projections, Snippets, transform functions), defer to `skmtc-generator`. When something is broken (no output, wrong output, error messages, a failed bundle build), verify before proposing a fix: read the manifest and the parse issues, and reproduce the failure first.

日本語の概要は準備中です。原文の説明を表示しています。

Run a self-retrospective on a SKMTC-related session — generator authoring, CLI configuration, debugging, or any sustained interaction involving `@skmtc/core`, `@skmtc/cli`, or `@skmtc/gen-*` packages. Captures three distinct outputs: (1) friction entries (mistakes, surprises, overridden defaults, multi-cycle struggles), (2) a "knowledge acquired" block recording facts the agent learned during the session that weren't in its training — the primary signal for doc gaps — and (3) a closing priority list ranking the top 2-3 findings for docs/skills triage. Wins are logged only when they identify a pattern worth codifying that isn't already in a skill. Use this skill when the user asks to "retro", "skmtc retro", "log friction", "reflect on this session", "what did we learn", "run a retrospective", or after substantive SKMTC work (generator authoring, multi-step debugging, non-trivial CLI configuration) where capturing observations would help improve skills, docs, or SKMTC itself. Distinct from the `skmtc-cli` and `skmtc-generator` skills — those guide *doing* the work; this skill captures observations *about* the work. Do not invoke this skill during ordinary work; it is end-of- session (or mid-session-checkpoint) only.

日本語の概要は準備中です。原文の説明を表示しています。

MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.

日本語の概要は準備中です。原文の説明を表示しています。