- suggest-compact hook now reads the latest usage record from the session
transcript and suggests /compact at a window-scaled token threshold
(160k/200k window, 250k/1M window; COMPACT_CONTEXT_THRESHOLD and
COMPACT_CONTEXT_INTERVAL overridable), re-firing per 60k-token growth
bucket; tool-call count stays as the secondary signal (#2155)
- Codex repo marketplace now points at ./plugins/ecc instead of ./ — Codex
never discovers plugins whose local marketplace source.path is the
marketplace root (verified on Codex CLI 0.137.0); plugins/ecc is a thin
folder referencing root skills/.mcp.json per maintainer direction on
#2097; docs flag plugin mode as experimental with the upstream blocker
openai/codex#26037 linked (#2128)
- README badges for installs/stars/forks now use shields endpoint badges
backed by api.ecc.tools (live install count 3,712 vs the stale static
150), which also eliminates shields' 'Unable to select next GitHub token
from pool' render in the stars badge
Closes#2155Closes#2128
- competitive-platform-analysis: add ## Examples section per ECC
guidelines (8-axis taxonomy walkthrough + pre-filter scoring matrix)
- competitive-report-structure: clarify dimension 9 poles are client-
specific (e.g., Memorability/Hireability) not hard-coded names
- brand-discovery: fix terminal state — set inProgressModule to null
after 90_SYNTHESIS.md is complete to prevent misleading resumption
All fixes mirrored to .agents/ copies.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds four community skills covering brand identity discovery and a
three-skill competitive benchmarking pipeline.
**brand-discovery** — Adaptive multi-session brand identity interview
spanning 8 modules (purpose, positioning, audience, personality, voice,
narrative, founder-brand tension, synthesis). Uses laddering, 5 Whys,
and projective techniques. State persisted to disk via state.json so
sessions resume across conversations without losing elicited knowledge.
Frameworks: Sinek, Dunford, Baker, Enns, Kapferer, Aaker, Neumeier,
Mark & Pearson, Lencioni. Includes 8 module output templates in
references/.
**competitive-platform-analysis** — Scopes and tiers a competitor set
before benchmarking begins. Categorizes candidates along 8 generic
creative-industry axes (positioning stance, specialization, size/model,
engagement format, distinctiveness posture, evidence model, brand
strength, market/reach) into Direct / Adjacent / Aspirational tiers.
Includes a pre-filter scoring matrix. First step in the pipeline.
**benchmark-methodology** — Scores each competitor across 9 weighted
dimensions (positioning 18%, brand voice 15%, visual craft 15%, offer
packaging 12%, evidence 12%, enterprise-readiness 10%, thought
leadership 8%, pricing 5%, client's strategic tension 5%) with explicit
1–5 rubrics and bias controls. Produces one profile card per competitor.
**competitive-report-structure** — Assembles scored cards into a
decision-grade report: executive summary, landscape map, competitor
tiers, heatmap matrix, deep dives, white-space and threats, strategic
recommendations, sources appendix.
brand-discovery complements brand-voice (ECC): brand-voice extracts a
style profile from existing source material; brand-discovery elicits
identity from scratch through structured interviews when no prior
material exists.
A competitive set scoped without the client's positioning brief is
noise, not intelligence — each skill enforces this by requiring the
brief before proceeding. The 9-dimension scoring framework deliberately
reports the client's strategic tension as two separate poles (never
averaged) because the gap between them is the strategic finding.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Several published examples contained APIs that no longer exist, code that
does not run, or model versions that drifted from reality:
- agents/performance-optimizer.md used the web-vitals v3 API
(getCLS/getFID/getLCP/getFCP/getTTFB) and reported FID. web-vitals v4
renamed the imports to onCLS/onINP/onLCP/onFCP/onTTFB and FID was
replaced by INP (target < 200ms)
- rules/common/performance.md pinned stale model versions in the
model-selection guidance; refresh to the versions the repo itself uses
(agent.yaml pins claude-opus-4-6) and add the PowerShell variant for
MAX_THINKING_TOKENS next to the bash export
- skills/python-patterns/SKILL.md: both get_value examples referenced
default_value without declaring the parameter (NameError); add
default_value: Any = None to the EAFP and LBYL signatures
- skills/frontend-patterns/SKILL.md: the custom useQuery example rebuilt
refetch whenever callers passed inline fetchers/options, re-triggering
the effect after every state update (infinite fetch loop). Keep the
latest fetcher/options in refs so refetch stays referentially stable.
The PASS-labelled useMemo example mutated its input with in-place sort;
copy before sorting
- skills/coding-standards/SKILL.md repeated the same PASS-labelled
in-place-sort-in-useMemo example; same fix
- rules/typescript/security.md used a vendor-specific OPENAI_API_KEY in
generic guidance; switch to a neutral API_KEY
Every hand-maintained copy of the affected content is synced in the same
change: locale mirrors (ja-JP, ko-KR, pt-BR, tr, zh-CN, zh-TW - each only
where it carries the affected file) and the .agents/.kiro/.cursor harness
mirrors. Two structural divergences are left alone and noted here:
.kiro/steering/performance.md has no extended-thinking control list to
carry the PowerShell variant, and docs/zh-TW/rules/performance.md keeps an
older condensed thinking section without the budget-cap line.
rules/zh/performance.md is intentionally untouched - the rules/zh tree is
being retired in a separate change
