ascent
Planning career strategy for job change/side-business/independence. Owns self-analysis, market & salary research, positioning, skill-gap plans, job search…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-01 00:15
25,404 results
Planning career strategy for job change/side-business/independence. Owns self-analysis, market & salary research, positioning, skill-gap plans, job search…
Configures persistent pi-subagents model and thinking overrides using three capability tiers or individual roles. Use when the user explicitly invokes…
General-purpose external AI model/CLI dispatcher (codex/claude/agy/gemini/kimi/opencode/qwen, not host built-in sub-agents), usable by any host AI for coding, review, analysis, research, documentation, and content tasks: supports explicit model + reasoning depth or automatic selection by difficulty, and outputs…
Chinese-English general-purpose prompt skill: A draft from scratch, B diagnose and optimize, C rewrite legitimate requests to prevent false positives, D compile complex requirements into verifiable specifications; supports native English authoring, bilingual delivery, and on-demand domain frameworks. By default it only produces output; if information is insufficient, clarify first. Triggers: "write a prompt", "write an English prompt", "optimize an English prompt", "Chinese-English bilingual prompt", "write a prompt", "improve…
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…
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with…
Delegate a prompt to an installed CLI in the current directory and return its output. Use when the user names a provider, model, or family for a one-shot.
Create research-backed, spec-compliant Agent Skills with cited references, workflow templates, and anti-hallucination guardrails. Use when asked to "create a…
Grill a data-analysis or software request into an agreed plan for delegated work.
Spec and no-spec planning workflows derived from local slash commands (requirements, design, tasks).
Map automated end-to-end tests (Playwright, Cypress, WebdriverIO, CodeceptJS, Puppeteer, Appium) to source code files and produce a `coverage.e2e.yml` mapping…
Comprehensive Clawdbot configuration and skills system management. Use when working with Clawdbot setup, configuration files, creating/modifying…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Run comprehensive agent-native architecture review with scored principles
Install all dotai registry items in one command
Designs operating models for AI in product teams. Use when planning platform ownership, provider strategy, data boundaries, evals, or sensitive-data controls.
Sizes models and token budgets using Kaplan/Chinchilla scaling laws. Use when reasoning about compute-optimal N and D, tokens-per-parameter ratios, or…
Applies planning/search theory (A*, CSP, MCTS, PDDL, HTN) to agents. Use when ordering tool calls, enforcing preconditions before side effects, or validating a…
Chooses under uncertainty: value of more data, cost-based thresholds, abstention, when to stop a test and ship, robust choice. Use when deciding, not…
Designs consensus, quorums, leases, idempotency, and CRDTs. Use when facing split brain, fencing tokens, exactly-once claims, duplicate retries, stale reads,…
Close out an agent session: summarize the outcome and open items, then find leftover state such as scratch files, uncommitted or unpushed Git work, running…
arkcli agent: manages ARK Managed Agents, including Agent / Skill / Env / Session / File / Memory Store / Vault / MCP OAuth. The control plane preferentially uses ForTop/OpenTOP, while Session runtime and Files use direct data-plane connections.
An architecture design that turns an AI assistant from "waiting for tasks" into "proactively anticipating." Includes battle-tested patterns such as the WAL protocol, Working Buffer, and automatic scheduled tasks.
Run a Sandcastle lane — a sandboxed implement→review loop over a fixed batch of work in its own worktree, ended by an agent-authored PR.