kiss-observability-plan

name	kiss-observability-plan
description	Drafts the observability plan — logs, metrics, traces, SLIs/SLOs, alerts, dashboards. Produces a design doc + starter dashboard/alert YAML. Does not provision monitoring. Use when setting up monitoring for a project, defining SLOs/SLIs, or planning alerting and observability strategy.
compatibility	Requires kiss project structure with .kiss/ directory
metadata	{"author":"github-kiss","source":"agent-skills/kiss-observability-plan/kiss-observability-plan.md"}

User Input

$ARGUMENTS

Audience and tone (interactive mode)

When KISS_AGENT_MODE=interactive (the default), assume the user has limited technical background and limited domain knowledge — they may know basics but lack deep expertise in this skill's area. Run this skill as a guided questionnaire:

• One question at a time. No walls of questions.
• Yes / no first. Phrase so yes, no, not sure, or skip is a valid answer.
• Translate jargon, don't strip it. Use the technical term but always pair it with a plain-English gloss the first time it appears.
• Choices, not blank fields. When yes/no isn't enough, offer 2-4 lettered options (A/B/C/D) with one-line plain-language descriptions of the trade-off. Always include "Not sure — pick a sensible default".
• Always recommend. State the option you would pick and why in one sentence so the user can reply "yes" / "ok" to accept. Pull defaults from upstream artefacts (spec, architecture, ADRs, standards) before asking blank.
• Show, don't ask. When upstream artefacts already imply an answer, propose it as a pre-filled finding and ask for a yes / no confirmation rather than asking the user to fill in a blank.
• not sure / skip triggers a sensible default, marked "(default applied — confirm later)" in the artefact, and a debt entry in this skill's debt file.

When KISS_AGENT_MODE=auto (or --auto), skip the questionnaire entirely: apply sensible defaults from upstream artefacts and log decisions to the parent agent's decision log.

Inputs

• .kiss/context.yml
• {context.paths.docs}/architecture/intake.md (SLA)
• {context.paths.docs}/architecture/c4-container.md

Outputs

• {context.paths.docs}/operations/monitoring.md
• assets/alerts.sample.yml — alert rules starter
• assets/dashboard.sample.json — dashboard starter

Context Update

Does not mutate .kiss/context.yml.

Handoffs

• kiss-deployment reads SLI/SLO to set deploy-time canary bake.
• kiss-cicd reads alert definitions to wire post-deploy checks.

AI authoring scope

Does: design three pillars (logs / metrics / traces), propose SLIs (request latency, error rate, saturation, duration) + SLOs aligned with the intake SLA, draft alert thresholds.

Does not: provision dashboards or alerts; page on-call; modify infra.

Usage

<SKILL_DIR> = the integration's skills root (e.g. .claude/skills/ for Claude Code, .agents/skills/ for Antigravity / Codex, .cursor/skills/ for Cursor, .windsurf/workflows/ for Windsurf). Scripts live at <SKILL_DIR>/<skill-name>/scripts/….

MON_STACK=otel bash <SKILL_DIR>/kiss-observability-plan/scripts/bash/draft-monitoring.sh --auto

Answer keys

Key	Default
MON_STACK (otel/datadog/newrelic/cloudwatch/prometheus-grafana)	otel
MON_SLO_AVAILABILITY	99.9
MON_SLO_P95_MS	300