Initialize a session.yml state file with schema and trail vocabulary.
npx skills add https://github.com/gaabscps/ai-squad --skill observe-gaabscps
Please help me install this Agent Skill. Skill: observe Source: https://github.com/gaabscps/ai-squad/tree/main/shared/skills/observe Command: npx skills add https://github.com/gaabscps/ai-squad --skill observe-gaabscps
Open the observability contract for a free coding session and initialize a Session state file to wake capture hooks and define the minimal trail vocabulary.
Invoke the skill as /observe "<intent>" at the start of feature work to begin tracking cost, time, and decisions.
High-intent search queries and answers about installing and using this skill.
Observability for a coding session works by initializing a state file that defines a minimal trail vocabulary and wakes capture hooks to record cost, time, attention, and decisions as work progresses.
The best way to initialize session tracking for feature work is by invoking the observability contract at the start of the task, which creates a session state file to instrument the workflow and mine delivery stories later.
Session observability does not impose implementation guidance on the coding workflow; it provides a zero-bias contract strictly used to track cost, time, attention, and decisions across cross-squad work.
Initializing observability for a coding session records state fields including schema_version, session_id, mode, intent, status, and optional base_sha fields within a session.yml file.
You need to open an observability contract for cross-squad coding work at the start of feature work to instrument sessions, track decisions, and mine the recorded trail entries later for delivery stories.
adiomasLoad prepared state files and present a bootstrap summary for autonomous coding sessions.
Fr-e-dGenerate X threads, blog snippets, and metrics posts from completed story artefacts.
hoavdcRecord and track organizational decisions using the RAPID framework.
timurgaleevMonitor post-deploy web apps for defects and performance regressions.
