Wayfind a foggy, multi-session effort into an accepted repository spec and separate implementation-ticket drafts. Use when the destination is known but important decisions, dependencies, or scope are not yet clear enough to implement safely.
Write or review anything an agent reads — a core rule, a profile gate, a SKILL.md description, an instruction-file line, a subagent prompt, a handoff note, a verify-phase label. Part of the Agentsmith harness; supplies the levers that decide whether a line changes behaviour or only costs tokens — the two loads…
React performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.
Debug a Tendril plan by analyzing its execution logs, session JSONL, verification results, and checking infrastructure. Produces actionable bugfix and improvement recommendations. Use when the user wants to investigate why a plan failed, behaved unexpectedly, or to audit plan execution quality.
Find "Tendrillable" GitHub issues — open, recent, code-requiring issues that an agent can plan and one-shot WITHOUT asking clarifying questions, with high probability of success. Classifies a repo's open issues against the Tendrillable rubric and prints a ranked list of issue URLs. Use when asked to find tendrillable…
Use this skill when the user wants to set up or configure tsk Docker container images, customize their tsk.toml for Docker builds, configure stack/agent/project layers, or troubleshoot tsk container build issues.
Use this skill when the user asks about tsk commands, delegating development tasks to AI agents, managing sandboxed task execution, or working with the tsk task queue and server.
Takes surface scan results, optional LLM synthesis open-question entries, and optional tree-sitter AST signals to score project ambiguities (1-10). Outputs structured ambiguityfeed for smart-question-generator. Pure heuristic — no LLM calls. Designed for Stage 3.5 of the /gaai:bootstrap pipeline (between LLM synthesis…
Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers. Call the LLM. Parse and validate the response into 6-8 structured memory entries with clarity tags and source traceability. Used as Stage 3 of the /gaai:bootstrap pipeline.
Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user. Applies a two-layer anti-fabrication filter (pre-LLM exclusion of score<3 insights + post-LLM structural strip) so that Q&A surfaces only genuine ambiguities. Used as Stage 4 of the /gaai:bootstrap…
Run metaharness from an Omnigent agent to optimize harness files in the current workspace. Use when a host wants the metaharness kernel without wrapping a proprietary proposer.
Operate lpm-managed projects through the lpm CLI: start or stop projects and services, inspect logs and agent status, wait for readiness, run actions, and duplicate projects into standalone copies or create linked Git worktrees. Use when the user asks to operate or inspect lpm runtime state. LPMPROJECTNAME selects the…
Create and edit lpm YAML configs for projects, duplicates, worktree metadata, services, actions, terminals, profiles, SSH projects, and shared config layers. Use when the user explicitly asks to configure lpm, add an lpm service/action/button/terminal, edit .lpm.yml, or manage lpm templates or global config. For…
Shared project memory for AI coding agents: save or recall work-session logs in /.lpm/memory/ / .md so another agent CLI (Claude Code, Codex, Gemini) or a future session can continue the work by session name. Invoke with a session id (e.g. /lpm-memory auth-refactor) to continue that session. Use when the user asks to…
Use when operating peky from the CLI or TUI, especially for AI agents who need reliable, low-error procedures. Covers how to target sessions/panes correctly, use scopes, avoid confirmation prompts, and keep CLI/TUI/daemon in sync.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Use when: User wants to run Archon workflows, CREATE workflows or commands, set up Archon, or manage Archon configuration. Triggers (run): "use archon to", "run archon", "archon workflow", "use archon for", "have archon", "let archon", "ask archon to". Triggers (create): "create a workflow", "write a workflow", "make…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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+1 1mo agoA63 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: