Agent skill

Hlr Placement Strategy

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March…

MITAuto-check passed

Install Hlr Placement Strategy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hlr-placement-strategy -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hlr-placement-strategy --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Harvard-Law-Review-Skills/skills/hlr-placement-strategy .claude/skills/hlr-placement-strategy && 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
hlr-placement-strategy
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
636 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March…

  • Works in 5 steps: Submit broadly through Scholastica. A… → Get an offer. An offer from a journal… → Expedite up. Using Scholastica's bulk… → …
  • Planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit
  • SKILL.md covers When to trigger, The two seasons (time the…, The multi-submit + expedite… and HLR-specific placement facts…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hlr Placement Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March / August seasons, with the Harvard Law Review (HLR) as a top target. Plans placement and timing; it does not run the final upload preflight (hlr-submission).

Its SKILL.md is about 1.3k 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

  • Planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit
  • Expedite mechanics
  • The February-March / August seasons
  • With the Harvard Law Review (HLR) as a top target

Example prompts

  • “/hlr-placement-strategy”

Workflow steps

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

  1. Submit broadly through Scholastica. A single manuscript goes to a chosen set of journals at once.
  2. Get an offer. An offer from a journal comes with a deadline to accept.
  3. Expedite up. Using Scholastica's bulk expedite, notify higher-ranked journals that you hold an
  4. Ladder the offers. A better offer becomes the new floor for the next expedite round.
  5. Withdraw from lower journals once you accept, in bulk, promptly and courteously.

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

Hlr Placement Strategy loads about 1.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 636 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 636 words, ~1,302 tokens.

Download SKILL.mdSave it as .claude/skills/hlr-placement-strategy/SKILL.md (or your agent's skills folder).
name
hlr-placement-strategy
description
Use when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March / August seasons, with the Harvard Law Review (HLR) as a top target. Plans placement and timing; it does not run the final upload preflight (hlr-submission).

Placement Strategy (hlr-placement-strategy)

US law-review placement is unlike peer review. Authors submit a near-final article to many journals at once through Scholastica (some also use ExpressO), then use an offer from one journal to expedite review at higher-ranked journals. Timing is everything: there are two seasons, and slots fill fast. This skill plans the submission set, the expedite ladder, and the calendar — with HLR as a reach target that does not skip its review stages for expedites.

When to trigger

  • Deciding which journals to submit to, and in what wave
  • You hold an offer and must decide whether and how to expedite
  • Timing the submission to a season
  • Setting the order: submit broadly, or start narrow and widen?

The two seasons (time the submission)

SeasonOpensDynamics
Spring (main)journals open late Jan; most on Feb 1The big window — ~one-third of submissions in the six weeks after Feb 1; most slots open
Fall (smaller)journals open late July; most on Aug 1Smaller window — ~one-fifth of submissions after Aug 1; fewer remaining slots

Earlier in a season = more open slots; top journals fill fastest. Submitting mid-season into a crowded hot topic is the weakest position. (检索于 2026-06;以官网为准 for exact open dates.)

The multi-submit + expedite mechanic

  1. Submit broadly through Scholastica. A single manuscript goes to a chosen set of journals at once. Many authors run a wave strategy: a core target set first, widening if no offers come.
  2. Get an offer. An offer from a journal comes with a deadline to accept.
  3. Expedite up. Using Scholastica's bulk expedite, notify higher-ranked journals that you hold an offer with a deadline, asking them to review before it expires. Expedite requests are visible to editors immediately in their work area.
  4. Ladder the offers. A better offer becomes the new floor for the next expedite round.
  5. Withdraw from lower journals once you accept, in bulk, promptly and courteously.

Only expedite with an offer in hand. Expediting without one wastes editors' time and burns goodwill.

Show full SKILL.md (301 more words)Show less

HLR-specific placement facts (verify on the official page)

  • HLR itself intakes on its own electronic submission system — not Scholastica; you still run the broad multi-submit/expedite ladder on Scholastica for peer journals (检索于 2026-06;以官网为准 for any additional channel/email).
  • HLR states it makes every effort to honor expedite requests but does not omit any of its review stages in response — an HLR expedite does not buy a shortcut, only attention.
  • HLR and several peer journals have committed to give every author at least seven days to decide whether to accept an offer of publication — build that window into your ladder. (检索于 2026-06;以官网为准.)
  • HLR is a reach target for most authors; pair it with realistic peers in your submission set.

Building the submission set

TierRole in your setStrategy
Reach (incl. HLR, peer flagships)The dream placementSubmit early in the season; expect long odds
Match (strong generals/specialties)The realistic best caseThe core wave; likely source of your first real offer
Floor (solid placements you'd accept)The expedite engineAn early offer here is the lever to move the reach tier

Checklist

  • Submission timed to a season (early > late); open dates checked
  • Submission set tiered: reach / match / floor
  • Wave plan decided (broad at once, or core-then-widen)
  • Expedite plan: only after an offer; ladder offers upward in bulk
  • The 7-day decision window and each offer deadline tracked
  • Withdrawals sent promptly to journals you decline

Anti-patterns

  • Submitting off-season or late into a crowded hot topic
  • Single-submitting when the norm is multi-submit + expedite (you forgo your only leverage)
  • Expediting without an offer in hand (burns editor goodwill)
  • Expecting an HLR expedite to skip review stages (it will not)
  • Letting an offer deadline lapse because the ladder was not tracked

Output format

【Season】Spring (Feb) / Fall (Aug) + how early
【Set】reach (incl. HLR) / match / floor — named
【Wave】broad-at-once or core-then-widen
【Expedite plan】offer-in-hand → ladder upward (bulk)
【Deadlines】offer windows + 7-day rule tracked? [Y/N]
【Next】hlr-submission (final upload preflight)

Supplementary resources

© 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 Harvard-Law-Review-Skills/skills/hlr-placement-strategy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Hlr Placement Strategy

What does Hlr Placement Strategy do?

A skill your agent uses when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March…. Hlr Placement Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit, expedite mechanics, and the February-March / August seasons, with the Harvard Law Review (HLR) as a top target.

When should I use Hlr Placement Strategy?

Hlr Placement Strategy fits situations like: planning where and when to submit a law-review article and how to leverage offers — the distinctive Scholastica multi-submit; expedite mechanics; the February-March / August seasons; with the Harvard Law Review (HLR) as a top target.

How do I install Hlr Placement Strategy in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hlr-placement-strategy -a claude-code`. Or copy the skill folder (Harvard-Law-Review-Skills/skills/hlr-placement-strategy in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hlr-placement-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Hlr Placement Strategy in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hlr-placement-strategy -a codex`. Or copy the skill folder (Harvard-Law-Review-Skills/skills/hlr-placement-strategy in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hlr-placement-strategy in your project. Codex loads it when a task matches its description.

Can I use Hlr Placement Strategy 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 hlr-placement-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hlr-placement-strategy, .gemini/skills/hlr-placement-strategy, .github/skills/hlr-placement-strategy and .opencode/skills/hlr-placement-strategy in your project.

What does Hlr Placement Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Hlr Placement Strategy is instructions for the agent only.

Does Hlr Placement Strategy 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 Hlr Placement Strategy 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 Hlr Placement Strategy use?

Hlr Placement Strategy 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 Hlr Placement Strategy use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Hlr Placement Strategy?

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Who maintains Hlr Placement Strategy?

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.