Agent skill

Juglar Cycle Stock Stage

by haskaomni in haskaomni/serenity-skill

Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications.

MITAuto-check passedMarketing & SEO

Install Juglar Cycle Stock Stage

skills CLI
$ npx skills add haskaomni/serenity-skill --skill juglar-cycle-stock-stage -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install haskaomni/serenity-skill juglar-cycle-stock-stage --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/juglar-cycle-stock-stage .claude/skills/juglar-cycle-stock-stage && rm -rf skills-src

Use ~/.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/

Facts

Skill name
juglar-cycle-stock-stage
GitHub stars
633
Token cost
~2.3k tokens
SKILL.md length
1,008 words
Files
3 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications.

  • Works in 4 steps: A five-stage flowchart showing the… → A pie chart of Stage 1-5 probabilities… → An xychart-beta of the eight dimension… → …
  • The user provides a ticker/company
  • SKILL.md covers Core Principle, Required Inputs, Required Evidence and Five Stages, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Juglar Cycle Stock Stage is an agent skill from haskaomni/serenity-skill. Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Use when the user provides a ticker/company or asks about 朱格拉周期, Juglar cycle, capex cycle, fixed-asset investment cycle, industry cycle phase, recovery, expansion, overheating, downturn, clearing, inventory cycle, capacity cycle, ASP, or supply-demand cycle positioning.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/original-framework.md`).

It sits in Marketing & SEO. The licence is MIT.

When your agent uses it

  • The user provides a ticker/company
  • Asks about 朱格拉周期
  • Fixed-asset investment cycle
  • Industry cycle phase

Example prompts

  • “/juglar-cycle-stock-stage”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. A five-stage flowchart showing the Juglar cycle and visibly highlighting the current industry stage; annotate a different company stage…
  2. A pie chart of Stage 1-5 probabilities after confirming they match the probability list and sum to roughly 100%.
  3. An xychart-beta of the eight dimension scores on the common -2 to +2 scale, with the scoring table retained.
  4. A compact flowchart of the signals required to enter the next stage and the evidence that would invalidate the current classification.

What it can do on your machine

Read from SKILL.md and the folder at commit dedcf8f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Juglar Cycle Stock Stage loads about 2.3k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 1,008 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from haskaomni/serenity-skill at commit dedcf8f, republished under its MIT licence (© haskaomni). 1,008 words, ~2,252 tokens.

Download SKILL.mdSave it as .claude/skills/juglar-cycle-stock-stage/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
juglar-cycle-stock-stage
description
Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Use when the user provides a ticker/company or asks about 朱格拉周期, Juglar cycle, capex cycle, fixed-asset investment cycle, industry cycle phase, recovery, expansion, overheating, downturn, clearing, inventory cycle, capacity cycle, ASP, or supply-demand cycle positioning.

Juglar Cycle Stock Stage

Core Principle

Judge the company's Juglar cycle position from the industry fixed-asset investment cycle first, then the company's own operating phase second. Do not classify from share price, PE, or narrative alone.

Use the framework to answer:

text
Where are the company and its core industry in the fixed-asset investment cycle, and what evidence would move the judgment to the next phase?

Treat outputs as research analysis, not personalized investment advice. For latest/current scoring, verify market price, filings, earnings, guidance, industry supply-demand, capex plans, inventory, ASP, backlog, and estimate revisions from current sources before making time-sensitive claims.

Required Inputs

Required input: a ticker or clearly identifiable listed company.

Optional user inputs:

  • market: US, HK, A股, 台股, 日股, 韩股, etc.
  • horizon: 6 months, 12 months, 24 months, or 3-5 years
  • cost basis or position size for risk framing only; do not let it affect cycle classification

If the ticker is ambiguous, identify the most likely listed company and state the assumption. Ask only when multiple candidates are genuinely plausible and the wrong choice would change the analysis.

Required Evidence

Collect and separate industry-cycle evidence from company-specific evidence:

  • demand: orders, shipments, backlog, book-to-bill, utilization, customer capex, downstream demand
  • price / ASP: product pricing, contract prices, commodity prices, discounting, pricing power
  • profitability: gross margin, operating margin, EPS, loss/profit inflection, operating leverage
  • capex: company capex, peer capex, industry capacity announcements, fab/plant/vessel/equipment orders
  • inventory: company inventory, channel inventory, customer inventory, days inventory, destocking/restocking
  • capacity pressure: new capacity timing, utilization, supply bottlenecks, lead times, future overcapacity risk
  • customer behavior: rush orders, long-term agreements, replenishment, order deferrals, price pressure, cancellations
  • capital-market reaction: price trend, valuation, estimate revisions, sentiment, whether stock pricing is ahead of cycle evidence

For U.S.-listed companies, SEC filings can anchor reported revenue, margins, capex, inventory, backlog/order language, capacity plans, customer concentration, and risk factors. Use current market and industry sources for ASP, consensus estimates, stock trend, and competitive capex.

Five Stages

StagePhaseTypical Signal
Stage 1复苏期Demand improves, prices stop falling, inventory declines, margins repair, capex has not yet surged.
Stage 2扩张期Orders are strong, revenue/profit accelerate, utilization rises, capex starts increasing.
Stage 3过热期Prices and margins are high, optimism is broad, companies expand aggressively, future supply risk accumulates.
Stage 4衰退期Demand growth slows, prices soften, inventory rises, margins fall, capex begins to be cut.
Stage 5出清期Industry losses or weak profits force capex cuts, destocking, shutdowns, consolidation, layoffs, or restructuring.

Always distinguish:

  • industry cycle stage
  • company competitive/operating stage
  • stock valuation or market-pricing stage

These can diverge. Example: industry Stage 3, company Stage 2, stock already priced as Stage 3.

Eight-Dimension Scoring

Score each dimension from -2 to +2 and explain the evidence.

Dimension+2+10-1-2
Demand cycledemand surgedemand improvingstableslowingsharply declining
Price / ASP cyclesustained price risesprices bottoming/reboundingstablebeginning to fallrapid decline
Margin cyclemargins expanding fastmargins repairingstablepressuredsharply worse or loss-making
Capex cyclebroad aggressive expansioncapex revised up / expansion startsstableslowingsharply cut
Inventory cycleextremely low / tight supplydecliningnormalrisinghigh / channel clogged
Capacity-release pressurelittle new supply / bottleneckmanageable new supplybalancedclear new supply in 6-18 monthsconcentrated supply release / overcapacity risk
Customer behaviorrush orders, LTAs, accepts price hikesrestockingnormal purchasingdelays or price pressureorder cuts or cancellations
Capital-market reactionestimates rising and trend healthyvaluation repairdividedprice weakens ahead of fundamentalsderating and estimate cuts

Do not mechanically map the total score to a stage. Use the four core variables first: margin, capex, inventory, and price.

Show full SKILL.md (436 more words)Show less

Stage Mapping Rules

Use these patterns as anchors:

StagePattern
Stage 1 复苏期demand +1, price +1, margin +1, capex 0/+1, inventory +1, market starts repairing
Stage 2 扩张期demand +2, price +1/+2, margin +2, capex +1, inventory +1/+2, estimates rising
Stage 3 过热期demand +2, price +2, margin +2, capex +2, inventory still low, future supply pressure rising, valuation/story very optimistic
Stage 4 衰退期demand -1/-2, price -1/-2, margin -1/-2, inventory -1/-2, capex rolls over, customers pressure prices or cut orders
Stage 5 出清期demand weak, prices low, margins poor or loss-making, inventory begins falling, capex -2, industry consolidation or shutdowns appear

Output stage probabilities across all five stages. The probabilities must sum to roughly 100%, and the most likely stage should include a confidence level.

Mermaid Visualizations

For a full report, include 2-4 Mermaid diagrams when they materially improve comprehension. A short answer or data-limited analysis may use fewer. Do not create a diagram merely to meet a quota.

Prioritize these views:

  1. A five-stage flowchart showing the Juglar cycle and visibly highlighting the current industry stage; annotate a different company stage only when it diverges.
  2. A pie chart of Stage 1-5 probabilities after confirming they match the probability list and sum to roughly 100%.
  3. An xychart-beta of the eight dimension scores on the common -2 to +2 scale, with the scoring table retained.
  4. A compact flowchart of the signals required to enter the next stage and the evidence that would invalidate the current classification.

Apply these rules to every diagram:

  • Use fenced mermaid blocks, match the report language, keep node IDs in simple ASCII, and keep labels short.
  • Prefer broadly supported flowchart, pie, and stateDiagram syntax. Use xychart-beta, quadrantChart, or timeline only as progressive enhancement and retain the adjacent Markdown table as the fallback.
  • Use only evidence and values already stated in the report. Keep stage names, probabilities, score scales, and horizons consistent with the surrounding tables; never fill missing data for visual completeness.
  • Place each diagram beside the analysis it explains and follow it with a one-sentence takeaway. Keep citations, URLs, dates, and detailed caveats outside the diagram.
  • Keep a diagram focused: normally no more than 12 nodes or 8 plotted values. Diagrams supplement rather than replace scoring evidence, counter-evidence, migration conditions, and source trails.

Output Format

Use Chinese by default unless the user requests another language.

markdown
# TICKER:朱格拉周期阶段判断

【结论】
股票代码:
公司:
核心行业:
行业朱格拉周期阶段:
公司自身阶段:
股票定价阶段:
置信度:
未来 6-12 个月方向:

【阶段概率】
Stage 1 复苏期:xx%
Stage 2 扩张期:xx%
Stage 3 过热期:xx%
Stage 4 衰退期:xx%
Stage 5 出清期:xx%

紧接概率列表加入 Stage 1-5 Mermaid pie;数值必须与列表一致。

【周期位置图】
加入五阶段 Mermaid flowchart,并高亮当前行业阶段;公司阶段不同则单独标注。

【一句话判断】
...

【8维评分表】
| 维度 | 分数 | 证据 | 解释 |
| --- | ---: | --- | --- |
| 需求周期 | | | |
| 价格周期 / ASP | | | |
| 利润率周期 | | | |
| 资本开支周期 | | | |
| 库存周期 | | | |
| 产能释放压力 | | | |
| 客户行为 | | | |
| 资本市场反应 | | | |

如八维数据完整,在表后加入 -2 到 +2 同量纲的 Mermaid xychart,并保留评分表。

【核心证据】
1.
2.
3.

【反证与风险】
1.
2.
3.

【阶段迁移信号】
- 进入下一阶段需要看到:
- 当前判断被推翻需要看到:

加入 Mermaid flowchart 展示迁移条件与证伪分支。

【投资含义】
1. 短期交易含义:
2. 中期持仓含义:
3. 最大风险:

【最终评级】
周期位置:
风险收益比:
适合策略:左侧买入 / 右侧持有 / 趋势加仓 / 逢高减仓 / 等待出清 / 只观察

Detailed Reference

Read references/original-framework.md when a task needs the full Chinese source framework, exact stage definitions, complete scoring tables, or the original prompt wording.

When the reference format differs, preserve its analytical intent but follow this SKILL.md's current output and visualization rules.

© haskaomni, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/juglar-cycle-stock-stage of haskaomni/serenity-skill.

  • SKILL.md
  • agents/openai.yaml
  • references/original-framework.md

Open the folder on GitHubat commit dedcf8f

Compare with similar skills

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Categories

Questions about Juglar Cycle Stock Stage

What does Juglar Cycle Stock Stage do?

Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Juglar Cycle Stock Stage is an agent skill from haskaomni/serenity-skill. Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications.

When should I use Juglar Cycle Stock Stage?

Juglar Cycle Stock Stage fits situations like: the user provides a ticker/company; asks about 朱格拉周期; fixed-asset investment cycle; industry cycle phase.

How do I install Juglar Cycle Stock Stage in Claude Code?

Run `npx skills add haskaomni/serenity-skill --skill juglar-cycle-stock-stage -a claude-code`. Or copy the skill folder (skills/juglar-cycle-stock-stage in haskaomni/serenity-skill) into .claude/skills/juglar-cycle-stock-stage in your project. Claude Code loads it when a task matches its description.

How do I install Juglar Cycle Stock Stage in Codex?

Run `npx skills add haskaomni/serenity-skill --skill juglar-cycle-stock-stage -a codex`. Or copy the skill folder (skills/juglar-cycle-stock-stage in haskaomni/serenity-skill) into .agents/skills/juglar-cycle-stock-stage in your project. Codex loads it when a task matches its description.

Can I use Juglar Cycle Stock Stage in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add haskaomni/serenity-skill --skill juglar-cycle-stock-stage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/juglar-cycle-stock-stage, .gemini/skills/juglar-cycle-stock-stage, .github/skills/juglar-cycle-stock-stage and .opencode/skills/juglar-cycle-stock-stage in your project.

What does Juglar Cycle Stock Stage need to run?

SKILL.md names no scripts, command-line tools or credentials: Juglar Cycle Stock Stage is instructions for the agent only.

Does Juglar Cycle Stock Stage access the network?

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.

Is Juglar Cycle Stock Stage safe to install?

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. Review the folder before installing.

What licence does Juglar Cycle Stock Stage use?

Juglar Cycle Stock Stage is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Juglar Cycle Stock Stage use?

About 2.3k tokens (SKILL.md is roughly 9k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Juglar Cycle Stock Stage?

Skills that share tags, products or a category with Juglar Cycle Stock Stage: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Juglar Cycle Stock Stage?

haskaomni (a GitHub user) maintains it in haskaomni/serenity-skill, which has 633 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 15, 2026.

Source: haskaomni/serenity-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.