「step」の検索結果

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for forced-auth coercion, relay chains, target selection, NTLM or related acceptance paths, and coercion-to-privilege transitions. Use when the user asks to trace a coercion primitive, follow a relay path, analyze forced authentication, determine which service accepts relayed auth, or connect a coercion step to resulting privilege, enrollment, or code execution. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

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You MUST use this before any creative work or multi-step task. Explores intent, requirements, and design before implementation. Then documents the plan before coding.

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。

You MUST use this before any creative work or multi-step task. Explores intent and writes execution-ready plans before coding.

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。

Skill Chain Engine — compose skills into automated pipelines. One task triggers multi-skill workflows with progress tracking, auto-detection, and step management.

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Use for every hardware bring-up or debug session that ports mainline Linux to a phone or tablet. Retail-unlock targets require an already-unlocked bootloader; locked retail bootloaders are out of scope. Exploit-booted and firmware-booted targets require a demonstrated boot path; the skill never provides unlock or exploit steps.

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Browser Use is an open source browser automation framework for AI agents that turns websites into controllable interfaces for multi-step tasks. It combines a Python SDK, browser orchestration, and model integrations so agents can navigate, extract data, and complete workflows in real browsers.

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Run repeatable cross-forge repository backup jobs from one config instead of hand-scripting clone and export steps per provider.

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。

Uses boto3 and the AWS IAM Access Analyzer API to enumerate all roles, policies, and users, then flags permission combinations that could allow privilege escalation to AdministratorAccess. Outputs findings mapped to MITRE ATT&CK TA0004 with remediation steps and least-privilege replacement policy JSON.

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Diagnoses ArgoCD application sync failures and degraded states using the ArgoCD REST API and argocd CLI. Queries /api/v1/applications/{name} for sync status, resource health, and operation state. Provides automated remediation steps for OutOfSync, Degraded, and Missing resource conditions.

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Lints and validates Argo Workflows templates using the argo CLI and Argo Server REST API. Detects DAG dependency cycles, invalid artifact references, and parameter type mismatches across workflow steps.

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。

Diagnose tdmcp and TouchDesigner bridge problems with bounded checks and evidence-backed recovery steps.

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Use when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction.

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Template skill for a leadership-transition / executive cockpit — when someone steps into or covers a leadership role and needs to not drop anything. Produces a handoff doc + decision-rights map, an "open loops" tracker, a team-comms cadence, and a recurring report/update drafter. Trigger on "/exec-cockpit", "handoff doc", "decision-rights map", "open loops tracker", "cover for <role>", "interim <role>". Customize the placeholders to your situation.

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Use when the user brings any fuzzy, half-formed, or interrupt-driven input — an order from a boss, a forwarded email thread, a ticket, a chat message, a "can you look into X", a raw idea — and it needs framing before work starts. Turns the input into a structured brief (Context · Desired outcome · Goal · Owner · Next step · Decision needed). This is the AIOS's front door; run most things through it first. Trigger on "/structure", "frame this", "what's the actual ask here", "structure this", or any vague task that lacks a defined outcome.

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Use when the user dumps a batch of inputs at once — a pile of emails, a backlog of Slack/Teams messages, a list of asks, meeting action items, a notes brain-dump — and needs it sorted into action. Classifies each item, assigns owner + next step + priority, and flags which need a full /structure brief or a /decide call. Trigger on "/triage", "triage this", "process my inbox", "sort these asks", "clear my backlog", "what do I do with all this".

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 when the user asks 'is my site secure', 'run a security audit', 'check for vulnerabilities', 'was my site hacked', or 'fix the vulnerable plugins'. Runs the Respira security audit, reads its indicators, coverage and known vulnerabilities honestly, never calls a partial scan clean, and fixes what it finds one approved step at a time.

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。

GIST planning workflow. Structure goals into ideas, steps, and tasks using Gilad's evidence-guided framework.

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Retrieves full details of a specific Stitch screen — HTML download URL, screenshot URL, dimensions. This is the final step in design retrieval before code conversion.

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Creates a Stitch Design System from a DESIGN.md that was already uploaded with stitch-mcp-upload-design-md. Second half of a two-step pair — the upload must happen 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。

Prepare and execute a Python package release with verification steps. Use for releasing Python packages.

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。

Prepare and execute a Python package release with verification steps. Use for releasing Python packages with uv and ruff.

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Evaluates green bonds, sustainability-linked bonds, and social bonds with KPI selection, step-up mechanics, and framework assessment. Use when structuring ESG-linked debt, analyzing sustainability frameworks, or evaluating green bond eligibility.

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Evaluates management fee designs with commitment-period vs invested-capital bases, step-downs, and offset provisions. Use when analyzing fee structures, comparing fee levels, or modeling fee revenue for GPs.

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Creates structured plans from requirements. Generates comprehensive plans with steps, dependencies, risks, and success criteria. Coordinates with specialist agents for planning input and validates plan completeness. Uses template-renderer for formatted output.

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。