Model-routing guidance across the rules, skills, and harness-steering docs
still recommends Sonnet 4.6 / Opus 4.5-4.6 by name. Readers on the current
generation have to map those onto Sonnet 5 / Opus 5 themselves, and the
recommendation reads as pinned to a superseded generation.
Renames the recommended models in guidance tables and updates two pinned
model IDs in code samples:
- rules/steering guidance: .cursor, .kiro, and the seven translated
performance.md copies (ja-JP, zh-CN, zh-TW, ko-KR, pt-BR, es, tr)
- skills/prompt-optimizer complexity-routing table (+ zh-CN copy)
- skills/cost-aware-llm-pipeline MODEL_SONNET constant (+ zh-CN, ja-JP)
- docs/examples project-guidelines template, which pinned the invalid ID
claude-sonnet-4-5-20250514 (+ zh-TW, ja-JP copies)
Deliberately left alone:
- The "Pricing Reference (2025-2026)" table in cost-aware-llm-pipeline.
Renaming those rows while keeping the existing per-token figures would
assert Claude 5 pricing this change has not verified.
- Executable model config (.opencode/opencode.json, agent.yaml). Those pins
change real agent behavior and belong in their own reviewed change.
- Historical and illustrative references: the-shortform-guide session
transcripts, the ECC-PRO roadmap log entry, gan-style-harness's
"Opus 4.5-class"/"Opus 4.6-class" capability tiers, and
strategic-compact's deliberately generic "400k Opus 4.x" example.
- docs/ATLAS-CLOUD-GUIDE.md, which lists a third-party provider's catalog.
Documentation wording only; no behavioral change.
Co-authored-by: Phumchai Tanonsi <274848436+phumchai1515-prog@users.noreply.github.com>
* feat(skills): add prompt-optimizer skill and /prompt-optimize command
Adds a prompt-optimizer skill that analyzes draft prompts, matches them
to ECC components (skills/commands/agents), and outputs a ready-to-paste
optimized prompt. Advisory role only — never executes the task.
Features:
- 6-phase analysis pipeline (project detection, intent, scope, component
matching, missing context, workflow + model recommendation)
- Auto-detects project tech stack from package.json, go.mod, etc.
- Maps intents to ECC commands, skills, and agents by type and tech stack
- Recommends correct model tier (Sonnet vs Opus) based on task complexity
- Outputs Full + Quick versions of the optimized prompt
- Hard gate: never executes the task, only produces advisory output
- AskUserQuestion trigger when 3+ critical context items are missing
- Multi-prompt splitting guidance for HIGH/EPIC scope tasks
- Feedback footer for iterative refinement
Also adds /prompt-optimize command as an explicit invocation entry point.
* fix: keep prompt optimizer advisory-only
* fix: refine prompt optimizer guidance
---------
Co-authored-by: Affaan Mustafa <affaan@dcube.ai>
