Results for “intent”

Model agent mental states using BDI (Beliefs, Desires, Intentions) ontology patterns, enabling cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.

Routes user intents to the right operation for a persistent Markdown second brain, enforcing citation and discussion before any write, with read-only MCP tools for queries.

Translate product intent, PRDs, or roadmap discussions into explicit, implementation-ready capability plans with constraints, invariants, interfaces, and open questions before multi-service work begins.

Writes mechanism-first technical implementation deep-dive articles that explain design intent, data flow, trade-offs, and operations, with code locations as supporting evidence.

Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file. Use this skill to extract slice, thread, or memory data from Android Perfetto traces using trace_processor.

Publish local changes to GitHub by confirming scope, committing intentionally, pushing the branch, and opening a draft PR through the GitHub app from this plugin, with `gh` used only as a fallback where connector coverage is insufficient.

Conduct comprehensive keyword research to identify high-value search terms, map search intent, and uncover content gaps for SEO and content marketing. Use when the user requests keyword research or provides relevant inputs for this workflow.

Designs high-converting popups, modals, and banners with strategic triggers, copy, and targeting rules that respect user experience, accessibility, and SEO guidelines.

Analyzes draft prompts, identifies intent and gaps, matches ECC components, and outputs an optimized prompt for the user to paste and run. Advisory only, never executes the task.

Analyzes a website's current design and user intent to produce a structured redesign specification, including product and design documents, a design system JSON, and a reasoning trace.

Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X"

Injects up to 1 million tokens of external context into AI agent memory, auto-summarizes conversations with tone and intent preservation, and compresses multi-turn history into dense token sequences.

飞书邮箱：Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等；use for mail/email intent only. Do not use for docs/sheets/calendar/auth setup/pure contact lookup/IM chat tasks.

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

飞书邮箱：Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等；use for mail/email intent only. Do not use for docs/sheets/calendar/auth setup/pure contact lookup/IM chat tasks.

Create distinctive, production-grade frontend interfaces with high design quality. Covers design thinking, typography pairing, color theory, motion design, spatial composition, and code quality. Generates real working code — HTML/CSS/JS or React — with intentional aesthetic direction, not generic AI output.

Polish an existing React Native screen to feel intentional, native, and human-crafted. Use for "this screen looks off", "feels clunky on iOS", "Android version looks wrong", "jank when scrolling", "button is unreachable", or any RN-specific UX polish pass.

Drafts clear, professional emails ready to copy and paste — from a brief description of the situation, audience, and intent. Use when asked to write, draft, or compose an email, reply to a message, or suggest how to phrase something professionally.

Transform an output-focused roadmap into an outcome-focused one that communicates strategic intent. Rewrites initiatives as outcome statements reflecting user and business impacts. Use when shifting to outcome roadmaps, making a roadmap more strategic, or rewriting feature lists as outcomes.

Distill any intent input into the SPEC kernel + companions — the canonical, preservation-validated machine contract for downstream work. Use when the user says "create a spec", "distill this into a spec", "validate this spec", "update the spec", or "break this into stories".

Generates premium brand-kit images including logo systems, identity decks, and visual-world presentations. Creates intentional, minimal, and strategic brand boards with grid-based layouts, symbolic logo concepts, and application mockups.

Donahoe Loop audit gate before execution. Trigger: 'audit plan', 'check plan', 'review plan', 'plan audit', 'plan check', 'before we build', 'before execution', 'validate the plan', 'is this plan solid', 'plan review'. Owns pre-execution audit intent -- fires before any foreign plan-checker.

This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.

Scans installed or specified agent skills for advertising, covert commercial intent, task hijacking, suspicious external calls, and sensitive-data access. Reports findings first and quarantines only after explicit user confirmation.

Reconcile this session's code delta back into the Living Blueprint and per-folder intent layer so they stay an accurate snapshot of the codebase. Mostly descriptive (what the code now is), not rules. Pure producer — edits files only, never commits or opens a PR.

Artistic, research-grounded UI enhancement for making an existing page feel intentional, spacious, and human-crafted. Use when "make this page nicer/polished/premium/editorial", less crowded, better laid out, typography, or visual hierarchy. Flows/AI-templated UX → enhance-web-ux. Layout contract → audit-responsive.

Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.

Create Jira issues such as tasks, stories, bugs, or subtasks from user intent. Use when a user asks to open, file, draft, or create a Jira ticket and needs fields validated, issue text composed, Jira API or connector calls made, and the created issue link returned.

Use when auditing a CAV (Computer Aided Verification) submission for portal readiness, covering the four submission categories (Regular / Short Tool / Short Application / Industrial Experience & Case Studies), the LNCS page limits, the per-category anonymization matrix, the artifact-intent declaration, and desk-reject triage before the AoE paper deadline.

Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with render_game_to_text.

Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.

Marketing skills router: match marketing intent to a sub-skill, then Read its Entry file under skills/<name>/ (e.g. ads/ads.md). Covers CRO, copywriting, SEO/AEO, paid ads, ad creative, analytics, email/SMS, pricing, launches, video/image generation, and growth loops. Use for any marketing request — campaigns, content, optimization, measurement.

Drafts a recordable U.S. Deed of Gift for voluntary, no-consideration transfers of real or personal property. Enforces party identification, unambiguous property descriptions, jurisdiction-specific execution formalities, donative intent recitals, and recordability requirements. Trigger keywords: "deed of gift", "gift deed", "property gift", "donative transfer", "estate planning gift", "charitable gift conveyance".

Provides a creative-direction layer for music videos and short-form edits in the angelcore/cloud-trance/hyperpop visual family, encoding aesthetic vocabulary, mood/color/light system, and beat-synced editing grammar to produce intentional, stylistically coherent video content.

Initialize an Adobe App Builder project end-to-end without Developer Console UI clicks. Creates the Console project and workspace, subscribes APIs, maps user intent to the right template, runs non-interactive `aio app init`, and guides post-init customization.

Layer 4 of the keyword research pipeline. Spawns a "skeptical SEO" adversarial sub-agent to argue against every survivor of Layers 1-3. Catches mechanical-classifier blind spots — wrong SERP intent, hidden link-graph gauntlets, AIO trajectory shifts, vanity-rank metrics. Same pattern as quality-check's adversarial draft read, applied to keyword selection.