Touch Targets
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to all interactive elements on touchscreen interfaces: buttons, links, checkboxes, radio buttons, form inputs, icon buttons, and menu items.
Agent skill
Agricultural And Forest Meteorology
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue.
MITAuto-check passed
Install Agricultural And Forest Meteorology
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorology --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .claude/skills/agricultural-and-forest-meteorology && 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 "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .claude/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorologyType 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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorology --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .agents/skills/agricultural-and-forest-meteorology && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .agents/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorology --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .cursor/skills/agricultural-and-forest-meteorology && 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 "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .cursor/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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/brycewang-stanford/Awesome-Journal-Skills.git --path Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology--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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorology --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .gemini/skills/agricultural-and-forest-meteorology && 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 "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .gemini/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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 brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorologyInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .github/skills/agricultural-and-forest-meteorology && 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 "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .github/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills agricultural-and-forest-meteorology --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology .opencode/skills/agricultural-and-forest-meteorology && 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 "agricultural-and-forest-meteorology" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology into .opencode/skills/agricultural-and-forest-meteorology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agricultural-and-forest-meteorology", 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.
Facts
- Skill name
agricultural-and-forest-meteorology- GitHub stars
- 1.2k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 753 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue.
- Targeting Agricultural and Forest Meteorology
- SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Deciding whether a land–atmosphere manuscript fits this venue
What it does
Agricultural And Forest Meteorology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Encodes the journal's fit, the land–atmosphere-process and flux-measurement bar, micrometeorological evidence expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Targeting Agricultural and Forest Meteorology
- Deciding whether a land–atmosphere manuscript fits this venue
Example prompts
- “/agricultural-and-forest-meteorology”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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.
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
Agricultural And Forest Meteorology loads about 1.9k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 753 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.
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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 753 words, ~1,909 tokens.
Download SKILL.mdSave it as
.claude/skills/agricultural-and-forest-meteorology/SKILL.md (or your agent's skills folder).- name
- agricultural-and-forest-meteorology
- description
- Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Encodes the journal's fit, the land–atmosphere-process and flux-measurement bar, micrometeorological evidence expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics.
Agricultural and Forest Meteorology (agricultural-and-forest-meteorology)
Journal positioning
Agricultural and Forest Meteorology is Elsevier's outlet for the interaction between agricultural and forest ecosystems and the atmosphere: the land–atmosphere exchange of energy, water, carbon, and trace gases; micrometeorology and boundary-layer processes; eddy-covariance and other flux measurement; phenology; and crop- and forest–climate interactions. Its defining expectation is a genuine land–atmosphere or biosphere–atmosphere process contribution — an advance in how vegetated surfaces exchange mass and energy with the atmosphere, or in how that exchange is measured, modeled, or scaled. A pure crop-agronomy study with no atmospheric coupling, or a pure climate-modeling paper with no surface-process component, is a poor fit however competent. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before submitting, re-check the live Agricultural and Forest Meteorology author instructions and data policy.
When to trigger
- The author names Agricultural and Forest Meteorology and wants a fit/framing check for a land–atmosphere paper.
- A crop, forest, or ecosystem study must be re-framed around its energy/water/carbon exchange or micrometeorological process to fit, or recognized as out of scope.
- The author is choosing between this journal,
agriculture-ecosystems-and-environment,global-change-biology, and a climate venue. - The author needs the journal's flux-measurement and micrometeorological evidence expectations.
Scope & topic fit
- Land–atmosphere exchange of energy, water (evapotranspiration), CO2, CH4, N2O, and other trace gases over croplands, grasslands, and forests.
- Micrometeorology and surface-layer processes: turbulence, footprint, surface energy balance, canopy–atmosphere coupling.
- Eddy-covariance, chamber, and remote-sensing flux measurement, including methodology, gap filling, partitioning, and network/large-sample synthesis.
- Phenology and its climatic drivers, and feedbacks between vegetation phenology and surface fluxes.
- Crop– and forest–climate interactions: water and heat stress, drought response, and climate effects on productivity when an atmospheric-exchange process is central.
- Land-surface and SVAT modeling that represents or is constrained by surface-flux observations.
Method & evidence bar
- The contribution must rest on a land–atmosphere or biosphere–atmosphere process — not agronomic yield or ecological pattern alone.
- Flux data must follow accepted processing: coordinate rotation, density (WPL) corrections, quality control, footprint/energy-balance-closure reporting, and clear gap-filling and partitioning methods.
- Observational studies need adequate site characterization, instrument calibration, and representativeness; single-site, single-season claims must be framed honestly.
- Models must be evaluated against flux or micrometeorological observations with appropriate skill metrics and uncertainty, and benchmarked against a credible reference.
- Scaling claims (site to region, plot to canopy) require explicit, defensible upscaling logic, not assertion.
- Data should be available or sourced per Elsevier and journal policy; network-data use (e.g., flux networks) should be properly cited and acknowledged.
Show full SKILL.md (341 more words)Show less
Structure & house style
- Standard Elsevier research-article structure (Introduction, Site/Data, Methods, Results, Discussion, Conclusions); re-check current article types and length on the live guide.
- The introduction must establish the surface–atmosphere process gap, not just an agronomic or ecological motivation.
- Figures should be quantitative and load-bearing: flux time series, diurnal/seasonal composites, energy-balance closure, and model–observation comparisons with uncertainty.
- A highlights list and a structured or graphical abstract are commonly expected — re-check current requirements on the live guide.
- Methods and data-availability statements must let a reader reproduce the flux processing and central result.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the Elsevier anchors, then cite the current Agricultural and Forest Meteorology page you checked. - Search the live site for "Agricultural and Forest Meteorology guide for authors" and follow the current Elsevier version.
- Re-check article types, highlights/abstract format, and word/figure expectations.
- Confirm the data-availability/research-data policy and any flux-network data-citation expectations.
- Re-check competing-interests, funding, author-contribution (CRediT), and AI-use disclosure, and open-access options.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- The central contribution is a land–atmosphere/biosphere–atmosphere process, not yield or pattern alone.
- Flux processing (corrections, QC, footprint, closure, gap filling, partitioning) is reported and defensible.
- Site characterization, calibration, and representativeness are adequate and honestly framed.
- Models are evaluated against flux/micrometeorological data with skill metrics and uncertainty.
- Any site-to-region scaling has explicit, defensible upscaling logic.
- Highlights, abstract format, and data-availability statement meet current requirements.
Common desk-reject triggers
- A pure crop-agronomy or variety/management trial with no land–atmosphere exchange component.
- A pure climate-modeling or atmospheric-dynamics paper with no surface-flux or vegetation process.
- Eddy-covariance results with no QC, energy-balance closure, or footprint/gap-filling description.
- Single-site, single-season flux study presented as broadly generalizable without caveats.
- Model results with no comparison to flux/micrometeorological observations or uncertainty.
- Missing data-availability statement or uncited use of flux-network data.
Re-routing decision
- Agroecosystem-management or soil/biodiversity focus without atmospheric coupling →
agriculture-ecosystems-and-environment. - Ecosystem carbon/climate-change biology dominant →
global-change-biology. - Catchment water-balance / hydrological process dominant →
journal-of-hydrology. - Large-scale carbon/nutrient cycling framing →
global-biogeochemical-cycles. - Climate-dynamics or land–climate modeling dominant →
journal-of-climateornature-climate-change.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Agricultural and Forest Meteorology
[Topic tags] <2–3 closest land–atmosphere topics>
[Land–atmosphere process] <the energy/water/carbon/trace-gas exchange or micromet advance>
[Method/evidence] <does flux processing + model evaluation + scaling clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / highlights / data policy / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Agricultural And Forest Meteorology 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 |
|---|---|---|---|---|---|---|
| Agricultural And Forest Meteorology this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Touch Targetsthedaviddias/Front-End-Checklist | 74k | — | ~938 | Automated safety check: Pass | MIT | |
| Performing Active Directory Forest Trust Attackmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~675 | Automated safety check: Pass | Apache-2.0 | |
| Implementing Mimecast Targeted Attack Protectionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Target Journalbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Workflow Score To TargetMengTo/Skills | 6.7k | — | ~1.3k | Automated safety check: Pass | MIT |
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Questions about Agricultural And Forest Meteorology
What does Agricultural And Forest Meteorology do?
A skill your agent uses when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Agricultural And Forest Meteorology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue.
When should I use Agricultural And Forest Meteorology?
Agricultural And Forest Meteorology fits situations like: targeting Agricultural and Forest Meteorology; deciding whether a land–atmosphere manuscript fits this venue.
How do I install Agricultural And Forest Meteorology in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a claude-code`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/agricultural-and-forest-meteorology in your project. Claude Code loads it when a task matches its description.
How do I install Agricultural And Forest Meteorology in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a codex`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/agricultural-and-forest-meteorology in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/agricultural-and-forest-meteorology in your project. Codex loads it when a task matches its description.
Can I use Agricultural And Forest Meteorology 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 brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agricultural-and-forest-meteorology, .gemini/skills/agricultural-and-forest-meteorology, .github/skills/agricultural-and-forest-meteorology and .opencode/skills/agricultural-and-forest-meteorology in your project.
What does Agricultural And Forest Meteorology need to run?
SKILL.md names no scripts, command-line tools or credentials: Agricultural And Forest Meteorology is instructions for the agent only.
Does Agricultural And Forest Meteorology 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 Agricultural And Forest Meteorology 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 Agricultural And Forest Meteorology use?
Agricultural And Forest Meteorology 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 Agricultural And Forest Meteorology use?
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agricultural And Forest Meteorology?
Skills that share tags, products or a category with Agricultural And Forest Meteorology: Touch Targets (thedaviddias/Front-End-Checklist, 74k stars), Performing Active Directory Forest Trust Attack (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Implementing Mimecast Targeted Attack Protection (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Target Journal (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agricultural And Forest Meteorology?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.