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- majiayu000/claude-skill-registry
- 최근 소스 활동
- 2026년 6월 23일 12:15
- 감지된 SKILL.md 언어
- 영어
- 스타
- 543
- 포크
- 85
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/majiayu000/claude-skill-registry --skill duckdb-ies명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据,按主题分组汇总"我都做了什么",并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
SOC 직업 분류 기준
| name | duckdb-ies |
| description | Layer 4: IES Interactome Analytics with GF(3) Momentum Tracking |
| version | 1.0.0 |
Layer 4: IES Interactome Analytics with GF(3) Momentum Tracking
Version: 2.0.0
Trit: +1 (Generative - produces analysis artifacts)
Bundle: analytics
Extends: duckdb-timetravel
DuckDB-IES provides unified interactome analytics across Claude history, GitHub activity, workspace files, and skill manifests. It implements GF(3) momentum tracking, topic clustering, and cross-source fingerprint correlation.
/Users/bob/ies/ducklake_data/ies_interactome.duckdb
| Table | Rows | Description |
|---|---|---|
claude_history_colored | 1316+ | Claude interactions with Gay.jl coloring |
gh_repos_colored | 50 | GitHub repos with trit values |
gh_contributions | 366 | Daily contribution counts |
skill_manifests | 1+ | Skill metadata with fingerprints |
workspace_files | 200+ | Workspace file index by type |
topic_clusters | 14 | Content-based topic extraction |
skill_dependency_graph | 5 | Skill domain → file mappings |
Merges all sources into single stream:
SELECT timestamp, source, content, category, fingerprint, color_hex, trit
FROM unified_interactions
WHERE source = 'claude' AND timestamp > '2025-12-20';
Daily GF(3) balance tracking:
SELECT day, total_interactions, daily_gf3_sum, gf3_status, breakdown
FROM gf3_flow_analysis
WHERE gf3_status = '✓ balanced';
Hourly drift detection with velocity:
SELECT hour, cumulative_gf3, gf3_velocity_6h, momentum_status
FROM gf3_momentum_detector
WHERE momentum_status LIKE '%DRIFT%';
Cross-source co-occurrence within 1-hour windows:
SELECT edge_type, correlation_count, avg_time_delta
FROM fingerprint_correlations
ORDER BY correlation_count DESC;
Hourly momentum with cumulative GF(3):
SELECT hour, interactions, velocity, cumulative_gf3
FROM interaction_velocity
WHERE velocity > 20; -- High activity spikes
High-density interaction periods:
SELECT hour_bucket, density, gf3_sum, gf3_status, palette
FROM simultaneity_surfaces;
CREATE OR REPLACE TABLE claude_history AS
SELECT
display, timestamp,
to_timestamp(timestamp/1000) as ts,
project, sessionId,
CASE
WHEN LOWER(display) LIKE '%duckdb%' THEN 'duckdb'
WHEN LOWER(display) LIKE '%skill%' THEN 'skill'
ELSE 'other'
END as interaction_type
FROM read_json('~/.claude/history.jsonl',
format='newline_delimited',
ignore_errors=true
);
-- Add Gay.jl deterministic coloring
CREATE OR REPLACE TABLE claude_history_colored AS
SELECT
*,
hash(display || COALESCE(project,'') || CAST(timestamp AS VARCHAR)) as fingerprint,
'#' || printf('%06x', ABS(hash(display)) % 16777216) as color_hex,
CAST(ABS(hash(display)) % 3 AS INTEGER) - 1 as trit
FROM claude_history;
-- Content-based topic clustering via regex
CREATE OR REPLACE TABLE topic_clusters AS
WITH topics AS (
SELECT
content, source,
CASE
WHEN LOWER(content) LIKE '%duckdb%' THEN 'duckdb'
WHEN LOWER(content) LIKE '%gay%' OR LOWER(content) LIKE '%color%' THEN 'gay-coloring'
WHEN LOWER(content) LIKE '%acset%' THEN 'acsets'
WHEN LOWER(content) LIKE '%skill%' THEN 'skills'
WHEN LOWER(content) LIKE '%mcp%' THEN 'mcp'
ELSE 'general'
END as topic,
trit, color_hex, timestamp
FROM unified_interactions
)
SELECT
topic, COUNT(*) as mentions,
(trit) gf3_sum,
(trit) balanced,
() first_seen,
() last_seen
topics
topic
mentions ;
-- GF(3) momentum with 6h/24h velocity windows
CREATE OR REPLACE VIEW gf3_momentum_detector AS
WITH cumulative AS (
SELECT
DATE_TRUNC('hour', timestamp) as hour,
SUM(trit) as hourly_trit,
SUM(SUM(trit)) OVER (ORDER BY DATE_TRUNC('hour', timestamp)) as cumulative_gf3
FROM unified_interactions
WHERE timestamp IS NOT NULL
GROUP BY 1
),
with_velocity AS (
SELECT
*,
cumulative_gf3 - LAG(cumulative_gf3, 6) OVER (ORDER BY hour) as gf3_velocity_6h,
cumulative_gf3 - LAG(cumulative_gf3, 24) OVER (ORDER BY hour) as gf3_velocity_24h
FROM cumulative
)
SELECT
hour, hourly_trit, cumulative_gf3,
gf3_velocity_6h, gf3_velocity_24h,
(gf3_velocity_6h)
(gf3_velocity_6h)
cumulative_gf3
momentum_status
with_velocity
;
-- Export to Parquet for external analysis
COPY (SELECT * FROM unified_interactions WHERE timestamp IS NOT NULL)
TO 'ducklake_data/parquet/unified_interactions.parquet' (FORMAT PARQUET);
COPY (SELECT * FROM gf3_flow_analysis)
TO 'ducklake_data/parquet/gf3_flow.parquet' (FORMAT PARQUET);
COPY (SELECT * FROM simultaneity_surfaces)
TO 'ducklake_data/parquet/simultaneity_surfaces.parquet' (FORMAT PARQUET);
| Trit | Skill | Role |
|---|---|---|
| -1 | duckdb-timetravel | Temporal versioning |
| 0 | gay-mcp | Color stream generation |
| +1 | duckdb-ies | Interactome analytics |
Conservation: (-1) + (0) + (+1) = 0 ✓
Total Interactions: 1733
Sources: 4 (claude, github_repo, github_contrib, skill)
Global GF(3): 2 (⚠ drift)
Balanced Topics: duckdb, gay-coloring, acsets, crdt, mcp, world-modeling
| Topic | Mentions | GF(3) | Status |
|---|---|---|---|
| general | 1359 | 27 | ✓ balanced |
| gay-coloring | 117 | -6 | ✓ balanced |
| duckdb | 74 | -3 | ✓ balanced |
| skills | 50 | 2 | ⚠ drift |
| world-modeling | 34 | -3 | ✓ balanced |
| mcp | 31 | -9 | ✓ balanced |
| acsets | 20 | 0 | ✓ balanced |
ducklake_data/parquet/
├── unified_interactions.parquet
├── gf3_flow.parquet
└── simultaneity_surfaces.parquet
# Quick interactome status
duckdb /Users/bob/ies/ducklake_data/ies_interactome.duckdb -c "
SELECT source, COUNT(*), SUM(trit) as gf3 FROM unified_interactions GROUP BY source;"
# Check momentum drift
duckdb /Users/bob/ies/ducklake_data/ies_interactome.duckdb -c "
SELECT * FROM gf3_momentum_detector WHERE momentum_status LIKE '%DRIFT%' LIMIT 10;"
# Topic balance check
duckdb /Users/bob/ies/ducklake_data/ies_interactome.duckdb -c "
SELECT topic, mentions, gf3_sum, balanced FROM topic_clusters ORDER BY mentions DESC;"
# Recent high-density hours
duckdb /Users/bob/ies/ducklake_data/ies_interactome.duckdb -c "
SELECT * FROM simultaneity_surfaces ORDER BY density DESC LIMIT 5;"
duckdb-timetravel - Temporal versioning layergay-mcp - Deterministic color generationacsets - Category-theoretic schemaentropy-sequencer - Temporal arrangementbisimulation-game - Cross-agent skill dispersalThis skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
general: 734 citations in bib.duckdbThis skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.