Find Hypertable Candidates
timescale/pg-aiguide
A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
Agent skill
Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gates --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .claude/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .claude/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gatesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gates --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .agents/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .agents/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gates --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .cursor/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .cursor/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xjli360/sealeap-amazon-skills.git --path amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gates --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .gemini/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .gemini/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gatesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .github/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .github/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-product-selection-eight-gates --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates .opencode/skills/sealeap-xiezhi-amazon-product-selection-eight-gates && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-xiezhi-amazon-product-selection-eight-gates" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates into .opencode/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-product-selection-eight-gates", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sealeap-xiezhi-amazon-product-selection-eight-gatesRun an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory.
Sealeap Xiezhi Amazon Product Selection Eight Gates is an agent skill from xjli360/sealeap-amazon-skills. Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory. Use when a candidate needs a complete pre-purchase decision review.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Data & Analytics, covering Forecasting and time series. It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 497d4b8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sealeap Xiezhi Amazon Product Selection Eight Gates loads about 528 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 107 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 107 words, ~528 tokens.
.claude/skills/sealeap-xiezhi-amazon-product-selection-eight-gates/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.用八个相互独立的门槛把候选从有趣方向推进到可审计立项,任何关键证据缺失都保持 HOLD。
缺少字段时列出证据缺口,并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN;不要补造数据。
必须有能锁定直接竞品和购物意图的属性/对象/场景词。
比较低评论正常样本与头部样本,判断新品是否可在合规条件下获得转化。
核算广告前贡献、CPA、ACoS、资金占用和周转,不用模糊投产比。
差异有需求证据、搜索页可见且供应商能按质量、成本和 MOQ 实现。
旺季、活动和上架窗口与生产物流倒排一致,并有历史周期证据。
完成专利、商标、版权、产品安全、认证、类目和宣传声明核查。
以可达份额、销售窗和变体需求分配首批库存,设置补货和退出条件。
汇总每闸证据、置信度与失败成本,只有关键闸均通过才给条件式 GO。
需要外部关键词、竞品、评论或公开网页证据时,读取 references/mcp-data-plan.md,并使用 scripts/mcp_research.py。
tools/list、search-tools 和 describe,依据实时 inputSchema 构造参数。tools/call 先展示 Provider、工具、无密钥参数、预计成本与输出位置,核对已有授权;仅在授权覆盖本次范围时使用 --allow-cost,该标志不是费用上限。--output 写入 Skill 包之外的任务私有目录;不假设安装位置受仓库 .gitignore 保护。第三方数据标为估算或代理证据。结尾列出站点、数据窗口、证据来源、关键假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD,不得包装成可直接执行。
执行细节、证据字段和质量检查见 references/playbook.md。
© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates of xjli360/sealeap-amazon-skills.
Open the folder on GitHubat commit 497d4b8
Sealeap Xiezhi Amazon Product Selection Eight Gates next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Xiezhi Amazon Product Selection Eight Gates this skillxjli360/sealeap-amazon-skills | 251 | — | ~528 | Automated safety check: Pass | MIT | |
| Find Hypertable Candidatestimescale/pg-aiguide | 1.9k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Setup Timescaledb Hypertablestimescale/pg-aiguide | 1.9k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Roas Forecastingirinabuht12-oss/marketing-skills | 4.1k | — | ~681 | Automated safety check: Pass | None | |
| Apex Azure Kustojonathan-vella/apex | 217 | — | ~984 | Automated safety check: Pass | MIT | |
| Cja Dimension Analysisadobe/skills | 197 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
timescale/pg-aiguide
A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
timescale/pg-aiguide
A skill your agent uses when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data.
irinabuht12-oss/marketing-skills
Projects your ROAS for the next 30, 60, and 90 days based on current performance trends, seasonality patterns from your historical data, and planned budget or campaign changes.
jonathan-vella/apex
ANALYSIS SKILL — Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL.
adobe/skills
Comprehensive dimension analysis and reporting for CJA. An agent skill from adobe/skills.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when designing the real-data validation of a 《中国管理科学》 (Chinese Journal of Management Science) manuscript — forecasting and financial-engineering strands: data provenance…
xjli360/sealeap-amazon-skills
Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution, and contribution-margin evidence, then produce a single-variable…
xjli360/sealeap-amazon-skills
Diagnose and draft Amazon Canada apparel advertising plans with lifecycle and seasonal timing, English/French search coverage, account evidence, profitability guardrails, and approval-ready…
xjli360/sealeap-amazon-skills
Audit, diagnose, rewrite, creatively brief, test, and safely prepare updates for Amazon product detail pages using live marketplace and product-type requirements, verified product facts, Brand…
xjli360/sealeap-amazon-skills
Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan without averaging incompatible slices or treating historical benchmarks as…
xjli360/sealeap-amazon-skills
Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell…
xjli360/sealeap-amazon-skills
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
Works with
Categories
Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory. Sealeap Xiezhi Amazon Product Selection Eight Gates is an agent skill from xjli360/sealeap-amazon-skills. Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory.
Sealeap Xiezhi Amazon Product Selection Eight Gates fits situations like: A candidate needs a complete pre-purchase decision review; tasks that involve Forecasting and time series.
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-product-selection-eight-gates in your project. Claude Code loads it when a task matches its description.
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-product-selection-eight-gates in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-product-selection-eight-gates in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-product-selection-eight-gates -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-xiezhi-amazon-product-selection-eight-gates, .gemini/skills/sealeap-xiezhi-amazon-product-selection-eight-gates, .github/skills/sealeap-xiezhi-amazon-product-selection-eight-gates and .opencode/skills/sealeap-xiezhi-amazon-product-selection-eight-gates in your project.
Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Product Selection Eight Gates needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Sealeap Xiezhi Amazon Product Selection Eight Gates is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 528 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sealeap Xiezhi Amazon Product Selection Eight Gates: Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars), Setup Timescaledb Hypertables (timescale/pg-aiguide, 1.9k stars), Roas Forecasting (irinabuht12-oss/marketing-skills, 4.1k stars) and Apex Azure Kusto (jonathan-vella/apex, 217 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.