Initial commit: AI conversation impact methodology and toolkit

CC0-licensed methodology for estimating the environmental and social
costs of AI conversations (20+ categories), plus a reusable toolkit
for automated impact tracking in Claude Code sessions.

tasks/06-usage-framework.md

@@ -0,0 +1,24 @@
+# Task 6: Write usage decision framework
+
+**Plan**: usage-guidelines
+**Status**: DONE
+**Deliverable**: New section in `CLAUDE.md`
+
+## What to do
+
+1. Write a concise decision framework (checklist or flowchart) for
+   deciding whether a task justifies an LLM conversation. Criteria:
+   - Could a simpler tool do this? (grep, man page, stack overflow)
+   - Does this require generation or transformation beyond templates?
+   - What is the expected reach of the output?
+   - Is the task well-defined with clear success criteria?
+
+2. Add it to `CLAUDE.md` as a quick-reference section, probably under
+   sub-goal 1 or as a new sub-goal.
+
+3. Keep it under 20 lines — it needs to be scannable, not an essay.
+
+## Done when
+
+- `CLAUDE.md` contains a practical checklist that can be evaluated in
+  10 seconds before starting a conversation.