Agent building

Convene a Round Table (โต๊ะกลม): 3–8 souls — persona files, Oracles, or real people's DNA — debate ONE stakes-bearing decision over exactly 4 rounds (OPEN…

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification.

Route a prompt to the right Venice text model based on privacy tier (anonymized / private / TEE / E2EE), modality (vision / audio / video input), capability…

Retrospective on one coding session that proposes changes to the agent's environment (hooks, checks, steering files, tool access) and files each as an ax…

Design well-structured agent loops with best-practice coaching and cross-model review gates before you run them.

Rigorous engineering orchestrator ported from Lauren Tan's pstack (poteto-mode): reads your task, picks one of 23 playbooks (bug fix, feature, refactoring…

Score one analytical answer against a verified golden, and score which of the entities the golden depends on retrieval delivered to the answerer.

Diagnose why a scored answer failed and who owns the fix, then cluster the failures by shared root cause.

Make the smallest safe edit that closes a diagnosed gap the model repo owns: a Malloy model edit, or a package skill under skills/.

Conduct preliminary research on a topic and generate research outline.

Build benchmarks of realistic, hard agent tasks, researched from real work, admitting only verified, shortcut-resistant, calibrated tasks and reporting how…

Delegate a bounded task from a Codex session to a Fable-powered Cursor Agent in the same Herdr workspace, then wait for and collect the result.

Delegate a bounded task from a Codex session to Grok 4.6 with xhigh reasoning in the same Herdr workspace, then wait for and collect the result.

Delegate a bounded task from a Codex session to GPT-5.6 Sol in the same Herdr workspace, then wait for and collect the result.

Check for available upgrades to the pi coding agent framework by comparing the current `@earendil-works/pi-*` or legacy `@mariozechner/pi-*` version in…

Qianfan Deep Research Agent for complex research tasks.

Xiaodu smart device control skill via MCP protocol.

Deep audit of a Frappe app for security, correctness, and customization defects.

Inspect OpenLoomi Goals from a skill-capable agent.

OpenLoomi first-use setup and readiness guidance for skill-only agent runtimes.

Connect AI agents to Taisly through MCP to publish and schedule videos, inspect history, and manage reposts.

Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access.

Use when designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction).

Use when turning a personal agent skill into an open-source, distributable one.