Agent Workflow Skills

>- Use this skill whenever the user wants to inspect, understand, snapshot, compare, or document the capabilities of the current agent harness — for example "what can this harness do?", "which Python libraries are installed?", "what should I use to create Word documents?", "capture/remember a snapshot", "compare with my baseline", or "what changed since last week?". Prefer this skill BEFORE guessing what the runtime supports.

>- Facilitates a zero-based AI-first process redesign session that helps a team reimagine an existing work process as AI-first. Guides them through framing, idea expansion, current-state task map, a future-state swimlane blueprint tagging each step AI-owned / Hybrid / Human-led, an AI-Agents-&-Skills summary table, and a next-sprint capability backlog. Weighs the full range of AI building blocks — process change, knowledge, tools, reusable skills, agents, connected agents — instead of defaulting to an agent. Use when the user wants to redesign a process for AI, make a workflow AI-first, map which tasks AI should own, or find AI or agent opportunities in a process. It shows WHERE AI could help; it does NOT build or deploy the agents or skills themselves. Do NOT use to build a specific agent or skill, for a one-off automation with no process to rethink, or for employee performance evaluation.

Play and operate a deterministic, resumable Colossal Cave text adventure with verbatim game output and an OOC escape. Use when a user asks to start, continue, inspect, reset, or smoke-test the Classic Text Adventure; treat unprefixed messages as game commands while a session is active.

Use this skill when the user asks to create a conference session proposal, talk abstract, CFP submission, session title, description, learning objectives, takeaways, or speaker bio.

Use this skill when the user asks to assess, audit, score, review, improve, prioritise, or quality-check content, documents, pages, posts, decks, or reusable artefacts.

>- Use this skill whenever the user describes a Copilot Studio agent in a sentence or two and wants a build-ready blueprint, or asks how to design, scope, or structure an agent (its type, topics, tools, knowledge, or welcome experience). Trigger on requests like "design a Copilot Studio agent that…", "turn this use case into an agent", "how should I structure this agent", or a pasted one-line use case. Do NOT trigger for testing an existing agent (that is the test-planner skill) or for generic Power Platform flows unrelated to an agent.

Use this skill whenever the user asks to review, assess, validate, improve, govern, or prepare a Microsoft Copilot Studio agent, multi-agent solution, or enterprise AI architecture before implementation. Apply an enterprise architecture assessment before proposing implementation or design changes.

Bundle every file the agent produced in this session into a single timestamped .zip and hand it back as a download. Use when the user asks to "export all produced files", "zip my files", "package everything you made", "bundle my files", "give me all the files", or similar. Files are read from /app/created/. Do NOT use to fetch a single named file the user can already download on its own, to create or convert a file, or to save/persist files to SharePoint, OneDrive, or Dataverse — those are separate flows, not a local zip-and-download.

Extract and preserve a departing senior leader's institutional knowledge — projects, decisions, rationale, relationships, tribal knowledge — into a structured, multi-phase archive built from M365 signals (emails, Teams, meetings, SharePoint/OneDrive). Resumable across multiple sessions. Use when the user asks to "build an institutional knowledge archive", "preserve institutional knowledge", "capture a departing leader's knowledge", "run a knowledge extraction for an executive handoff", "document a leadership transition before someone retires", or otherwise to capture/preserve a specific leader's decision history and expertise before they leave. Do not trigger on incidental mentions of someone retiring, leaving, or being out of office.

>- Use this skill whenever the user wants to search, browse, or look up records in a Microsoft Dataverse table — for example "look up accounts", "find opportunities for Contoso", "show me contact details", or "search cases by status". Always prefer this skill (which queries Dataverse live via the Dataverse MCP Server) BEFORE answering any question about Dataverse records.

Use this skill when the user needs to choose the right Microsoft AI platform for a project, is comparing Microsoft 365 Copilot, Agent Builder, Copilot Studio, Microsoft Foundry, Foundry Agent Service, Windows AI Foundry, or Agent 365, needs to gather requirements for an AI or agent build, needs a solution architecture recommendation, needs to estimate effort as technical complexity and risk, or asks any variant of "which platform should I use", "how do I choose", "help me scope this AI project", or "what's the right tool for this AI use case".

Use this skill whenever the user asks for an insights/reporting analysis of a SharePoint list from a connected SharePoint knowledge source; first validate the list exists, then generate and save a single-file interactive HTML report to a pre-approved SharePoint destination whose audience is no broader than the source list and items, and return its SharePoint URL.

Use this skill when the user asks to create, improve, review, package, genericise, or submit an Agent Skill, SKILL.md file, skill metadata, or reusable agent instruction bundle.

Reference — what Markifact is, what the MCP server exposes, and the discover→inspect→run pattern. Always loaded into the performance-marketer agent.

Reference for Claude Code Agent Teams — lifecycle, messaging, spawning, orchestration, and hooks

>- Captures project-specific patterns and anti-patterns into the project's CLAUDE.md. Loaded by other skills (bug-killer, feature-dev, etc.) when they discover project-specific knowledge worth encoding for future sessions.

>- Unified entry point for creating or updating OpenCode tools (skills, agents, commands) with dependency awareness. Orchestrates the creation of multiple related artifacts in a single session. Use when user says "create opencode tool", "new opencode tool", "oc-tool-dev", or wants to create/update an OpenCode artifact and may need supporting artifacts.

>- Guides through creating a new OpenCode-compatible agent with interactive interview, permission configuration, and validation. Use when user says "create opencode agent", "new opencode agent", "build agent for opencode", or wants to create an OpenCode agent markdown file.

>- Guides through creating a new OpenCode-compatible skill with interactive interview, best-practice enforcement, and validation. Use when user says "create opencode skill", "new opencode skill", "build skill for opencode", or wants to create an OpenCode SKILL.md file.

>- Updates an existing OpenCode agent to match current platform best practices, fixes deprecated patterns, and validates the result. Use when user says "update opencode agent", "fix opencode agent", "migrate agent to opencode", or wants to modernize an existing OpenCode agent file.

>- Updates an existing OpenCode skill to match current platform best practices, fixes deprecated patterns, and validates the result. Use when user says "update opencode skill", "fix opencode skill", "migrate skill to opencode", or wants to modernize an existing OpenCode SKILL.md file.

>- Convert Claude Code plugins into generic, platform-agnostic format. Supports full conversion (skills, agents, hooks), flatten mode (skills only — agents converted to skills, hooks absorbed), or nested mode (agents nested as pure markdown within parent skills, hooks absorbed). Full mode supports per-group or unified output layouts — unified merges all groups into a single directory organized by component type. Strips Claude Code-specific implementation details to produce clean markdown files preserving only the intent and instructions. Use when asked to "make this portable", "convert to generic format", "export plugin", "create universal skills", "strip platform dependencies", "make harness-agnostic", "decouple from Claude Code", "flatten to skills only", "nest agents in skills", or when the user wants their plugin content usable outside Claude Code. Also use when the user wants to share skills with teams using different agent frameworks.

Captures project-specific patterns and anti-patterns into the project documentation. Loaded by other skills when they discover project-specific knowledge worth encoding for future sessions.

>- Captures project-specific patterns and anti-patterns into the project's CLAUDE.md. Loaded by other skills (bug-killer, feature-dev, etc.) when they discover project-specific knowledge worth encoding for future sessions.

>- Captures project-specific patterns and anti-patterns into the project's CLAUDE.md. Loaded by other skills (bug-killer, feature-dev, etc.) when they discover project-specific knowledge worth encoding for future sessions.

>- Captures project-specific patterns and anti-patterns into the project's CLAUDE.md. Loaded by other skills (bug-killer, feature-dev, etc.) when they discover project-specific knowledge worth encoding for future sessions.

>- Captures project-specific patterns and anti-patterns into the project's configuration file. Loaded by other skills (bug-killer, feature-dev, etc.) when they discover project-specific knowledge worth encoding for future sessions.

Check SKILL.md files for security risks including prompt injection, hardcoded secrets, and compliance with security best practices. Use when creating or reviewing Skills in the your skills repository.

>- Use when the user says "oncall", "check alerts", "start oncall", "patrol", "health check", "retrospective", "iterate", "improve sre-agent", or provides PagerDuty alert content, or asks to query/acknowledge/resolve PagerDuty incidents. Should also trigger even if the user just says "check what alerts are there", "run a patrol", or "ack this alert".

VOC (Voice of Customer) analysis and competitive intelligence research. Collects user feedback from Reddit, Twitter, Amazon, App Store, YouTube, Facebook Groups, Discord, and other platforms via Apify Agent Skills and Web Search, performs semantic tagging, pain point mining, sentiment analysis, and competitive comparison, and generates data-driven market insight reports. Triggers when the user mentions VOC analysis, user feedback analysis, market research, competitive analysis, product review analysis, pain point analysis, customer feedback, competitive intelligence, customer sentiment, review analysis, or needs to collect and analyze user voices from multiple platforms. Should also trigger even if the user just says "check how users rate this product" or "analyze competitors".

INVOKE THIS SKILL for Arize Prompt Hub and `ax prompts` workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, `{variable}` placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, keyword triggers, hook mechanisms (UserPromptSubmit), session tracking, and the 500-line rule.

Generate a detailed AI fix prompt for a specific audit finding. Use when the user asks "/audit-fix F-X.Y" or "give me the fix prompt for finding N." Produces a complete prompt the user can hand to a fresh AI session (Claude Code, Cursor, ChatGPT) to remediate the finding with verification and rollback steps.

Write a structured session handoff file for clean context transfer. Use when ending a session, before /clear, when context is heavy, when handing off work to another pane, or when asked to "handoff", "checkpoint", "session-transfer", "save state", "prepare for clear".

Hand-tune a project's `.claude/` directory by cherry-picking ECC (everything-claude-code) rules/skills/agents and generating project-specific rules based on the project's real intelligence layers (GitNexus, MemoryMaster, graphify, Obsidian wiki, existing CLAUDE.md). Run preflight intelligence builds for layers that don't exist yet. Run in any project to curate or re-curate its `.claude/` directory. Use when asked to "curate this project", "cherry-pick rules for this repo", "/project-curate", or when a project's `.claude/` is bloated with mass-installed noise or missing stack-specific rules.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Review a Confluent agent skill in this repo against the Agent Skills spec (agentskills.io), Confluent conventions in CLAUDE.md, the PR template gates, and the evals-as-contract rule. Use this skill whenever the user asks to review, audit, validate, or lint a skill; opens or inspects a PR that adds or modifies anything under `skills/`; asks about spec conformance, lazy-loading, frontmatter shape, trigger overlap, or eval coverage; or wants a pre-merge sanity check on skill changes. Do NOT trigger for general code review of application code; security review; auditing schemas, producer/consumer configs, PII tagging, or Terraform generation for Schema Registry (handled by `kafka-schema-registry`); runtime/log analysis of skill behavior (use `tools/skill_review_dashboard.py`); or any changes that don't touch the `skills/` tree.

Create Confluent-specific skills for external users. Use this skill when users want to create, build, or author a new skill related to Confluent Cloud, Confluent Platform, Apache Kafka, WarpStream, Flink, Connectors, Schema Registry, Tableflow, CDC pipelines, or any Confluent product. Skills can be use-case focused (like data enrichment, CDC to Tableflow, stream processing workflows) or component-specific (like a Flink skill, Schema Registry skill, or Connector skill). Do NOT use this skill when users want to directly use Confluent products (e.g., build a pipeline, write a producer, deploy Flink SQL) — use the appropriate product-specific skill instead. This skill is specifically for creating new skills, not for using existing ones.

Strands conversation/context manager patterns, including sliding window with summarization. Use when building agents with context management, preventing session pollution, or implementing conversation compaction.

> Use when adding or editing Auth0 guidance in this repo's single auth0 skill — a new framework, feature, tooling, or pattern reference — to get the file structure, router wiring, and validation right the first time. Use even if the request just says "add a reference" or "document X in the skill" without naming the router.

>- Specialized agentic and context engineering prompt methodology for Claude. Use when designing AI agents — system prompts, tool definitions, context window architectures, failure mode planning, multi-agent coordination, an agent," "architect an agent's context," "design tool definitions," "agent system prompt," "context window architecture," "tool interface design," "evaluate agent behavior," "multi-agent coordination," "context engineering for agents," "ACI design." Provides 12 tested approaches for agent architecture (designing agents, not using them). Do NOT use for evaluating or scoring individual non-agent prompts (use rootnode-prompt-validation if available). Do NOT use for general software architecture that hosts agents (use standard technical reasoning for that).

>- Independent re-derivation gate for proposed changes during autonomous execution. Evaluates a change (code diff, config edit, engine evolution, schema change) against the work's authority matrix and a 4-check narrowness, and regression risk. Returns structured JSON with pass/fail per check, an overall verdict (APPROVE / REQUEST_CHANGES / REJECT), and blockers. Profile-driven thresholds (strict for unattended runs, lenient for desk supervision). Use when an autonomous agent proposes an engine change, when reviewing a Claude Code-authored modification before merge, or when an unattended profile requires independent re-derivation. "is this change safe," "is this safe to merge," "should I let this land," "run the critic." Do NOT use for handoff-readiness checks (use rootnode-handoff-trigger-check), general code review, or design-time correctness. Authority matrix required.

>- Guides selection of identity, reasoning, and output approaches for Claude approach," "which approach fits this task," "recommend a prompt pattern," "compare reasoning methods," "map this task to the right approach," "what combination of approaches," "which identity fits," "which reasoning method." which approach to use," "my output lacks domain depth." Covers decision-tree logic across 8 identity approaches, 18 reasoning variants, and 10 output formats. After selection, use the relevant catalog skill if available to retrieve full templates. Activate whenever approach-selection across multiple categories is the primary decision. Do NOT use when the user already names a specific approach to retrieve (use the relevant catalog skill directly if available) or for evaluating existing prompts (use rootnode-prompt-validation if available).

>- Designs Claude Code prompts and CC environments. Produces CLAUDE.md drafts, agent topologies, scope-authorization frameworks, halt triggers, Skills/hooks/MCP plans, chat-to-CC handoff specs, and EXECUTION_PLAN.md from friction), RESEARCH (evaluate a CC tool/pattern), TEMPLATE (reusable artifacts), REMEDIATE (consume hygiene findings → produce + execute plan). Use when user says "design CC for X", "build CC environment", "design CLAUDE.md", "build a CC prompt", "design a CC prompt for X", "write a session prompt", "we hit X friction in CC", "should we adopt Y for CC", "give me a CLAUDE.md skeleton", "remediate the hygiene findings". Do NOT use REMEDIATE for direct cleanup (Cat 1–10 — use rootnode-repo-hygiene Phase 2; REMEDIATE handles Cat 11–14 + 7-layer leaks). Do NOT use for hygiene scanning (use rootnode-repo-hygiene). Do NOT use for chat prompts (rootnode-prompt-validation) or chat Projects (rootnode-project-audit).

>- Evaluates whether work-in-design is ready to hand off from a chat design conversation to autonomous execution (Claude Code, n8n, agent runtime). pump-primer, work decomposition, rollback cost, token budget headroom. Three invocation modes — deliberate (caller provides work_context, returns JSON verdict), proactive sensing (Claude detects handoff signals in design conversation and offers the check), conversational walkthrough (Claude walks the 7 conditions as discussion topics). Returns structured JSON in all modes. Use when designing a Claude Code deployment, scoping off," "ready for execution," "is this CC-ready," "handoff check," "walk me through readiness," "are we ready to ship this," "should I just hand this off," or proactive detection. Do NOT use for evaluating completed work, runtime selection, or prompt quality. Profile-agnostic.

>- Rebalances context across Memory, Custom Instructions, knowledge files, and User Preferences in Claude Projects. Audits Memory for redundancy, staleness, and misplacement; prescribes optimization including Codification of stable Memory patterns into explicit User Preferences or Project CI rules. Use when user says "optimize my memory," "what should be in my memory," "trim my knowledge files," "reduce my context usage," "rebalance my project," "what should be in my preferences vs memory," or asks whether something belongs in Memory, a knowledge file, or User Preferences. Also trigger on "my context window keeps hitting limits." Activate whenever Memory-layer balance is the primary concern. Do NOT use for full Project audits (use rootnode-project-audit if available), single-prompt evaluation (use rootnode-prompt-validation if available), or global-layer audits that don't touch Project Memory (use rootnode-global-audit if available).

>- Conversational profile builder. Produces validated JSON config files for any rootnode Skill that consumes profile-shaped configuration (handoff trigger check, mode router, critic gate, future Skills). Reads a target JSON Schema (draft-07), conducts a progressive-depth interview using plain-language questions, validates answers, and writes the resulting JSON to a destination path. Schema-agnostic — works with any profile schema conforming to draft-07. Use when a user needs to create, clone, or revise a profile and you do not want them hand-editing JSON. Trigger "set up my profile," "edit my profile," "clone the X profile," "walk me through making a profile." Do NOT use when the user already has a working profile and only wants to invoke the consuming Skill, when the schema cannot be located, or for non-profile JSON config work. Always validate before writing.