Route user input to a five-coach mental-fitness skill stack with local journaling.
npx skills add https://github.com/ibm777p2/Intelligence-Emotions --skill pq
Please help me install this Agent Skill. Skill: pq Source: https://github.com/ibm777p2/Intelligence-Emotions/tree/main Command: npx skills add https://github.com/ibm777p2/Intelligence-Emotions --skill pq
Routes user input to the PQ Skill stack, enabling instant access to a coordinated coaching ecosystem (Sage, Spotter, Trainer, Navigator, Witness) with a private local journal to track patterns and progress.
Start a session with /sage-session and bring a real challenge to begin your mental-fitness practice.
High-intent search queries and answers about installing and using this skill.
A local mental fitness journal keeps data private by storing event-sourced records on your device and redacting sensitive content on write. It enforces safety-first invariants with no external sinks, ensuring your coaching patterns and progress remain completely private.
Yes, machine-learning coaching can catch saboteur patterns automatically by recalling your past entries from the local journal. The coaching stack reads your user data to personalize rep targets and cadence, improving pattern recognition accuracy over time.
To start a mental fitness session, initiate the /sage-session command and bring a real challenge to begin your practice. Your input is routed to a coordinated five-coach stack, enabling the Sage to choose the appropriate response.
No, the pq coaching stack does not require external dependencies to run locally. It operates entirely on-device using local scripts and reads configuration from ~/.pq/config.yaml to manage privacy settings and coaching cadence.
In mental fitness practice, saboteur patterns are negative mental habits you catch through coaching reps, while Sage powers are positive responses chosen to handle challenges. The coaching stack recalls both from your local journal to guide daily practice.
Yes, you can configure privacy settings and rep targets for mental fitness coaching by editing the ~/.pq/config.yaml file. The stack reads this configuration to personalize your coaching cadence and ensure sensitive content is redacted on write.
nanocoaiConfigure NanoClaw agent groups to use local Ollama models via environment variables.
CAPHTECHCompress long-term task history into structured Session Notes and Progress Summaries.
ibm777p2Aggregate journal entries into a weekly PQ dashboard with trends and suggestions.
Arry8Coach users through daily 5Fs ratings and life-reflection prompts.
