power-builder

Links

• github.com/kirodotdev/powers
• power-builder/plugin.json (manifest)

Skills · 3

agent-plugins-reference

Reference documentation for the Agent Plugins v1.0.0 specification. Use when you need to understand plugin structure, plugin.json schema, SKILL.md format, mcp.json configuration, or environment variable expansion.

create-plugin

Create a new Kiro Power using the Agent Plugins v1.0.0 specification. Use when building a new power from scratch with plugin.json, skills, and optional MCP server configuration.

migrate-plugin

Migrate an existing POWER.md-based Kiro Power to the Agent Plugins v1.0.0 specification. Use when converting a power that uses POWER.md frontmatter and steering files to the plugin.json and skills/ format.

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

Category

Agent Tooling. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

kiro power · power builder · agent plugins · plugin · migrate power · create power

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  Long-running task patterns distilled from OpenAI Codex harness v0.149.0: tool output budgeting, context pressure compaction, parallel sub-agent fan-out, structured plan streaming, self-review, sub-agent delegation, world-state tracking, background task management, thread-level goal persistence, per-sub-task model routing, completion auditing, fork-context decision, sub-agent family tracking, goal token budgeting, error recovery strategy, retry with backoff, streaming output reader, session handoff, long-term memory, skill auto-selection, plugin authoring helper, tool discovery pattern, and session branch/fork. 23 Skills total covering the complete agent lifecycle: planning → decomposition → sub-agent parallelism → execution → state tracking → tool discovery → skill/plugin authoring → memory persistence → session branching. Activates when an agent must manage token budget, decompose work, sustain multi-step tasks without losing focus, coordinate sub-agents, pick the right model for the job, prove that a non-trivial task is actually done, stay within an explicit goal token budget, recover from transient failures, read streaming output without filling context, hand off a session cleanly, persist memory across sessions, write a discoverable skill, design a discoverable tool, author a marketplace plugin, or branch / fork / revert a session. **Requires MiniMax Code 0.2.4+** (pinned to the mcode 0.2.4 `task` / `bash` tool surface: `task(description, prompt, agent_name, run_in_background?)`, `bash(command, timeout?, run_in_background?)`, `task_query`, `task_output`, `task_stop`: earlier mcode versions used legacy placeholders for the same fields and are not supported).