automation-advisor
openbooklet.com/s/automation-advisoropenbooklet.com/s/[email protected]GET /api/v1/skills/automation-advisorInteractive automation decision advisor using the Automation Decision Matrix framework. Use when the user asks "should I automate this?", wants to evaluate an automation opportunity, calculate automation ROI or break-even, or requests an automation decision analysis. Guides a structured questionnaire, scores four dimensions, applies override checks, and generates an Obsidian-formatted report with a visual decision diagram.
End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.
Add agent-friendly --json NDJSON output to Python CLI scripts, or scaffold a complete cli_utils package for a project. Use this skill when the user wants to make scripts machine-readable for AI agents, add --json flags, convert print statements to structured JSON, build a CLI helper library, create an open-source CLI-for-agents package, add structured logging, or make CLI output machine-readable. Also use when the user mentions NDJSON, structured CLI output, agent-friendly CLI, non-interactive scripts, or JSON I/O for automation.
Run a multi-agent audit of a feature, PR/diff, or task spec in which Codex, Command Code (cmd), Gemini, OpenCode and Claude debate over ACP for a configurable number of rounds and converge on a final spec, a prioritized task list and improvements. Claude moderates and synthesizes; every other agent gets a final veto. Use when the user says "roundtable", "agent roundtable", "audit this with codex", "have the agents discuss/debate this", "get a second (third) opinion from other agents", "multi-agent review", "council", or wants several coding agents to agree on a spec.
This skill should be used when mapping an application's screens, workflows and tests into one interactive page. It inventories every screen and touchpoint from the code, writes test scenarios and jobs to be done, reads the project's real tests, and builds a self-contained HTML map with a ranked "Test next" list, a flow graph, a state-by-state testing matrix, a jobs view and agent hand-off prompts. Trigger on "map this app", "app map", "screen inventory", "what should we test next", "map the workflows", "which jobs are underrepresented", or refreshing an existing map after tests change.
Constructive, evidence-based dialogue mode that avoids sycophancy. This skill should be used when the user wants balanced multi-perspective analysis, critical feedback, or rigorous challenge of their ideas. Triggers on "/balanced" or requests for honest/critical/balanced feedback. Supports full, interactive, tldr, steelman, decision, and sketch modes.
Non-destructive Chrome automation. The problem it solves: to attach a CDP/`agent-browser` session, Chrome must run with `--remote-debugging-port`. The `real-browser` skill achieves this by **quitting Chrome Beta first**, destroying the user's open tabs. `browser-mate` instead runs a **dedicated debu
Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault.
This skill should be used to summarize coaching or therapy session transcripts after a Fathom/Granola sync. The agent analyzes the transcript itself (no API key, runs on the subscription) and appends key insights, decisions, action items, and trail connections. Supports quick extraction or deep analysis with cross-session pattern detection.
Measure how much PII lives across a whole folder of sessions, without ever exposing any of it. The audit runs the layered LOCAL detector stack from `shared/confide_core.py` (regex â Natasha â local LLM) over each file and emits **only aggregates**. This mirrors the `real_session_eval` privacy co
A **defensive** audit of YOUR OWN already-redacted output. It does not score against ground truth and is not a benchmark. It surfaces, qualitatively, what an attacker could **still** do â mapped to GDPR Art-29: **singling-out**, **linkability**, **inference**.
This is the last step of the CONFIDE round-trip:
Produce ONE standalone `.html` that renders a transcript with every PII span highlighted and color-coded by type, and lets you toggle between the original and the redacted views interactively. It reuses the span data from the shared core (`shared/confide_core.py`) â a thin renderer, no new detecti
Use when the user explicitly asks to publish or complete a prepared Cull release, or when the authorized cull-release orchestrator reaches publication after every repository and artifact gate passes.
Use when verifying or auditing a Cull release, DMG, updater archive, notarization, Homebrew cask, installed version, launch health, or post-publication distribution state.
Inspect a font's real OpenType feature inventory and generate CSS to enable chosen features. Never guess what a font supports â always run `scripts/otfeat.py list` first; only features present in the dump may be offered or enabled.
Scaffolds a new Tauri v2 project pre-loaded with conventions proven in two production apps (cenno, cull). Delegates version-current boilerplate to the official scaffolder, then applies a durable convention layer and any opt-in modules the user selects.
Scaffolds a native SwiftUI app with XcodeGen (`project.yml` â generated, committed `.xcodeproj`), pre-loaded with the conventions and loop-closer toolchain (xcsift, the Xcode MCP, swiftformat/lint). The lighter native sibling of `init-tauri-app`.
This skill is now part of **[humane-agentic-design](https://github.com/glebis/humane-agentic-design)**, where it sits inside the design method cycle it belongs to and is maintained alongside the skills it hands off to.
Create or maintain a portable learning vault for any certification, course, or study goal. Creates or updates domains, concepts, lessons, scenarios, maps, review tasks, and optional Dataview views using an Open Knowledge Format profile. Inspired by the genome vault pattern. Use when the user wants to create a study vault, learning vault, certification prep vault, or structured knowledge base for a learning goal.
End-to-end AGENCY Community event on Lu.ma - cover image, Zoom meeting, the Lu.ma event page, invites to calendar contacts, and a social announcement draft. Use when creating a community meetup, talk, workshop or discussion on Lu.ma, or when the user says "/luma-event", "set up a luma event", "create the meetup on luma".
Auto-indexed from glebis/claude-skills
Are you the author? Claim this skill to take ownership and manage it.
Related Skills
graceful-error-recovery
Use this skill when a tool call, command, or API request fails. Diagnose the root cause systematically before retrying or changing approach. Do not retry the same failing call without first understanding why it failed.
audience-aware-communication
Use this skill when writing any explanation, documentation, or response that will be read by someone else. Match vocabulary, depth, and format to the audience's expertise level before writing.
Refactoring Expert
Expert in systematic code refactoring, code smell detection, and structural optimization. Use PROACTIVELY when encountering duplicated code, long methods, complex conditionals, or any code quality issues. Detects code smells and applies proven refactoring techniques without changing external behavior.
Research Expert
Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.
clarify-ambiguous-requests
Use this skill when the user's request is ambiguous, under-specified, or could be interpreted in multiple ways. If proceeding with a wrong assumption would waste significant work, always ask exactly one focused clarifying question before doing anything.
structured-step-by-step-reasoning
Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.