Orchestrate an Observe-Orient-Decide-Act loop with memory and context.
npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-mind
Please help me install this Agent Skill. Skill: ftm-mind Source: https://github.com/kkudumu/feed-the-machine/tree/main/ftm-mind Command: npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-mind
ftm-mind provides a unified Observe-Orient-Decide-Act loop to reason, orient around live state, and plan before acting, enabling memory across conversations and safer, more deliberate task execution.
Provide a freeform request such as '/ftm-mind help me think through this issue' to start the full OODA loop.
High-intent search queries and answers about installing and using this skill.
Memory-aware reasoning retains session context, experiences, and patterns to inform decisions across conversations. It loads current state and prerequisites before acting, enabling safer and more deliberate task execution with continuity.
Start a planning workflow by providing a freeform request such as '/ftm-mind help me think through this issue'. The orchestrator initiates the full OODA loop, loading context and routing to appropriate sub-skills while honoring prerequisites and approval gates.
Yes, the orchestrator requires a YAML frontmatter containing the name and description fields. This metadata is necessary to define the task parameters and route correctly to the appropriate ftm sub-skills during the orientation phase.
The limits of plan-first approval gating involve the overhead of loading context and prerequisites before acting. While it promotes safer execution for vague tasks, it may introduce delays for straightforward tasks that do not require upfront understanding or multi-step orchestration.
hdonovan42Load VAULT project context and initialize the Polymarket momentum trading agent.
Tubular-HealthExecute one sub-task from a refined issue and stop after completion.
StepowskiEricOrganize agent decisions into an OODA loop with ooda-cycle-log.md artifacts.
GitnappDecompose complex requests and route tasks across Kanban multi-agent workflows.
