Results for “graph”

Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.

Packages an existing talking-head, interview, or podcast video with timed, designed graphic overlay cards—kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture—synced to the transcript, on a 16:9, 9:16, or 4:5 canvas.

Read, search, post, and engage with X/Twitter from the command line using cookie-based authentication.

Turn any text into a faceless explainer video with typography, abstract graphics, diagrams, and data visualization.

Maintains a PARA-structured knowledge base on disk for persistent project context, decisions, and architecture records across agent sessions.

Create professional motion graphics and videos from the terminal. AI-powered composition with multi-track layering, choreography, voiceovers, and Lambda rendering. Gated 5-phase workflow ensures quality.

Build, run, and visualize multi-step AI generation workflows by chaining image, video, and audio nodes into automated pipelines.

Interact with Instagram from the command line: view feeds, posts, profiles, search, and perform engagement actions using cookie-based authentication.

Create, edit, and export videos from the terminal using the Bazaar CLI, with a gated workflow for context, generation, review, and iteration.

Detects available memory tools and maps them to a structured memory system for cross-session recall, with file-based fallback.

High-performance graph analysis for beads issue tracker using 9 metrics (PageRank, Betweenness, HITS, Critical Path, etc). Provides AI-driven task prioritization, dependency analysis, and architectural health monitoring via robot protocol.

Decompose work into small, verifiable tasks with explicit acceptance criteria, ordered by dependencies and sliced vertically for reliable implementation.

Interact with Instagram from the command line: view feeds, posts, profiles, and search, and perform engagement actions like liking, commenting, and following using cookie-based authentication.

Transforms chaotic notes, voice dumps, and meeting transcripts into a structured, interlinked knowledge base inside Obsidian by extracting entities, generating wikilinks, and surfacing forgotten context.

Manages a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Use this skill for repo mapping, entry points, ownership, dependency graph, risk areas, impact analysis before implementation. Trigger when the task involves programming work related to Codebase Map Indexer, implementation, audits, debugging, strategy, or validation.

Interact with Instagram from the command line: view feeds, posts, profiles, and comments, search users and hashtags, and perform engagement actions like liking, commenting, and following using cookie-based authentication.

Routes requests into the correct obsidian-mind mode: install, daily session loop, capture, review, maintenance, multi-agent wiring, or semantic search, using a ready-made Obsidian vault template for persistent agent memory.

Scrapes tweets from any X (Twitter) URL — search results, user profile, single tweet detail, or list timeline — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, and cursor for pagination.

Sets up a codebase for reliable agent-driven development by making it legible (structured docs, custom lints, code graph), executable (one-command dev stack, cloud sandbox), and verifiable (e2e gate, verify-before-ship loop).

Use when planning an IEEE VIS project timeline from area fit through the abstract and full-paper deadlines, the two-phase review, the conditional-accept second round, the IEEE TVCG camera-ready, the Graphics Replicability Stamp, and presentation, with backward-planning offsets for a visualization paper and honest handling of the annual cycle and the second-round revision window.

Generate implementation plans from approved designs — plan-generator, phase-based plans, parallel batch execution, task dependency graph, owner skill routing, acceptance criteria, global done criteria, plan frontmatter, layout contract, interaction contract, anti-drift rules, plan format, AD-2 byte-for-byte gate, scope definition, execution plan, phases and batches, task anatomy, plan file format

Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated motion-first unit, including an animated title. Route fresh creation through hyperframes before using this skill.

Builds, validates, schedules, and dynamically modifies DAG execution graphs. Decomposes problems into nodes with dependencies, performs topological sorting, detects cycles, resolves conflicts, and schedules wave-based parallel execution. Use when designing a DAG structure, validating dependencies, planning execution order, or modifying a DAG at runtime. Activate on "build DAG", "plan workflow", "DAG dependencies", "topological sort", "schedule execution", "modify DAG", "replan". NOT for executing DAGs (use dag-runtime), validating outputs (use dag-quality), or matching skills to nodes (use dag-skills-matcher).

Decompose multi-step work into a revisable subgoal plan with stable step IDs, checkpointing, and plan-ahead execution. Load when a task needs explicit planning before action, subgoal decomposition, plan checkpointing, or ReCAP-style plan-ahead execution. Also triggers on "structured plan", "plan with steps", "subgoal graph", "revise the plan", "checkpoint plan", or multi-step tasks where naive one-shot execution would be fragile. Skips trivial single-step tasks. Pairs with dynamic-routing on failure. Distinct from process-decomposer (registry/triage) and problem-to-plan (doc deliverables).