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Agent skill

Revedres Literature Synthesis

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

A skill your agent uses when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis.

MITAuto-check passedDatabases

Install Revedres Literature Synthesis

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill revedres-literature-synthesis -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills revedres-literature-synthesis --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/Review-of-Educational-Research-Skills/skills/revedres-literature-synthesis .claude/skills/revedres-literature-synthesis && 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
revedres-literature-synthesis
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
686 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis.

  • Works in 5 steps: Run the registered search. Search every… → Deduplicate and log. Report records… → Dual independent screening. Two… → …
  • Executing the systematic search
  • SKILL.md covers When to trigger, Search to a documented PRISMA…, From extraction to synthesis… and Education-specific search…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Revedres Literature Synthesis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis. Builds the documented evidence corpus; it does not impose the conceptual spine (revedres-organizing-framework) or run robustness/risk-of-bias appraisal (revedres-comprehensiveness-and-balance).

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering ORMs and data access. It works with Prisma. 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

  • Executing the systematic search
  • Screening to a PRISMA flow
  • Extracting data for a Review of Educational Research (RER) review

Example prompts

  • “/revedres-literature-synthesis”

Workflow steps

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

  1. Run the registered search. Search every database in the protocol (ERIC, PsycINFO, Education Source, Web of Science, Scopus, ProQuest…
  2. Deduplicate and log. Report records identified, duplicates removed, and records screened — exact counts.
  3. Dual independent screening. Two screeners at title/abstract, then full-text, against the eligibility criteria; record exclusions with…
  4. Supplement to saturation. Backward (reference lists of included studies) and forward (who cites them) snowballing; ask whether new…
  5. Extract into a structured dataset. Apply the codebook to every included study — this is the raw material for the framework, the tables…

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

Revedres Literature Synthesis loads about 1.6k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 686 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 686 words, ~1,569 tokens.

Download SKILL.mdSave it as .claude/skills/revedres-literature-synthesis/SKILL.md (or your agent's skills folder).
name
revedres-literature-synthesis
description
Use when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis. Builds the documented evidence corpus; it does not impose the conceptual spine (revedres-organizing-framework) or run robustness/risk-of-bias appraisal (revedres-comprehensiveness-and-balance).

Systematic Search & Synthesis (revedres-literature-synthesis)

When to trigger

  • The protocol is fixed and it is time to search the literature exhaustively
  • Searching feels ad hoc; you cannot yet report a reproducible PRISMA flow
  • You have hundreds of records and need a defensible screening trail
  • A reviewer at RER is likely to ask "why did you omit study X / database Y?"

Search to a documented PRISMA flow, not to memory

An RER systematic review's credibility rests on a reader's belief that you found everything that meets your criteria — and can prove it. Execute the protocol, logging every number for the PRISMA flow diagram (identification → screening → eligibility → included).

  1. Run the registered search. Search every database in the protocol (ERIC, PsycINFO, Education Source, Web of Science, Scopus, ProQuest Dissertations) with the recorded strings, plus grey-literature and hand-searches of key journals. Record hits per source and the search date.
  2. Deduplicate and log. Report records identified, duplicates removed, and records screened — exact counts.
  3. Dual independent screening. Two screeners at title/abstract, then full-text, against the eligibility criteria; record exclusions with reasons at full-text (required by PRISMA). Report inter-rater reliability (Cohen's κ or % agreement) and how conflicts were resolved.
  4. Supplement to saturation. Backward (reference lists of included studies) and forward (who cites them) snowballing; ask whether new searches still surface eligible studies. Document where they stop.
  5. Extract into a structured dataset. Apply the codebook to every included study — this is the raw material for the framework, the tables, and the meta-analysis.

From extraction to synthesis (not summary)

Summarizing is restating each study; synthesizing is making the studies answer your question together. Maintain a coding dataset as you extract:

ColumnWhat to capture
Studyauthor–year; the included report (watch for multiple reports of one sample)
Sample/contextlearners, setting, grade/level, country — for moderator analysis and scope claims
DesignRCT / quasi-experiment / correlational / qualitative — for risk-of-bias and weighting
Construct/measureexactly what was measured (so non-commensurable outcomes are not pooled)
Effect / findingeffect size + variance (meta-analysis) or coded finding (narrative synthesis)
Risk of biasyour appraisal on the a-priori tool (you do not re-run the study; you judge it)
Dependenciesshared samples / multiple effects per study (drives the variance model)

This dataset feeds the organizing framework, the forest plot and coding tables, and the even-handed treatment of conflicting evidence. You appraise the primary studies (you are the field's reviewer-of-record); you do not re-collect their data.

Show full SKILL.md (289 more words)Show less

Education-specific search hazards

The education literature is scattered across disciplines and document types, which creates predictable holes:

  • Cross-disciplinary indexing. Relevant work hides in psychology (PsycINFO), economics (EconLit/NBER), sociology, and policy databases — searching only ERIC misses it. Map your constructs to each field's vocabulary.
  • Grey literature is large and consequential. Dissertations (ProQuest), technical and foundation reports, and What Works Clearinghouse / IES products carry many null and small-sample results; omitting them biases pooled effects upward.
  • Terminology drift. The same construct is named differently across eras and subfields (e.g. "self-regulation" vs. "metacognition" vs. "executive function") — build a thesaurus of synonyms into the search string.
  • Multiple reports of one study. Program evaluations spawn several papers on the same sample; collapse them to one unit or model the dependency, or you double-count.

Document how you handled each, so a reviewer sees the gaps were anticipated, not missed.

Checklist

  • Every protocol database searched with recorded strings + search date
  • Records identified / duplicates / screened / excluded-with-reasons / included all counted for PRISMA
  • Dual independent screening; inter-rater reliability reported; conflict resolution stated
  • Backward + forward snowballing run to saturation and documented
  • Grey literature / dissertations handled per protocol (and publication-bias implications noted)
  • Codebook applied uniformly; multiple-reports-of-one-sample and dependent effects flagged
  • Non-commensurable outcomes flagged (not pooled into a false common effect)
  • No eligible study or relevant database an informed reviewer could name as missing

Anti-patterns

  • Searching from memory or one database (predictable, fatal coverage gaps at RER)
  • A PRISMA diagram whose numbers do not reconcile (a red flag reviewers check)
  • Single-screener inclusion with no reliability statistic
  • Excluding grey literature without acknowledging the publication-bias risk it creates
  • Pooling outcomes that measure different constructs into one "effect of X"
  • Re-analyzing or "correcting" a primary study's raw data — you appraise, you do not re-collect

Output format

【Databases + date】<sources searched, search date>
【PRISMA counts】identified / dedup / screened / full-text / excluded-w-reasons / included
【Screening reliability】κ or % agreement; conflicts resolved by <method>
【Snowballing】backward + forward to saturation? Y/N
【Grey literature】included? Y/N — publication-bias implication noted? Y/N
【Coding dataset】codebook applied; dependent effects + shared samples flagged? Y/N
【Coverage risks】<any eligible study/database a reviewer could name as missing>
【Next step】→ revedres-organizing-framework (impose the conceptual spine on the corpus)

© 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 Review-of-Educational-Research-Skills/skills/revedres-literature-synthesis of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Revedres Literature Synthesis 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Revedres Literature Synthesis this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
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Prisma Client APIcurvenote/curvenote1702 repos~1.6kAutomated safety check: PassMIT
Docs Writerprisma/web1.1k—~5.2kAutomated safety check: NotesNone
Prismablencorp/claude-code-kit106—~2.7kAutomated safety check: PassMIT
Prisma Expertdavila7/claude-code-templates33k7 repos~2.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Revedres Literature Synthesis

What does Revedres Literature Synthesis do?

A skill your agent uses when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis. Revedres Literature Synthesis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing the systematic search, screening to a PRISMA flow, and extracting data for a Review of Educational Research (RER) review or meta-analysis.

When should I use Revedres Literature Synthesis?

Revedres Literature Synthesis fits situations like: executing the systematic search; screening to a PRISMA flow; extracting data for a Review of Educational Research (RER) review.

How do I install Revedres Literature Synthesis in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill revedres-literature-synthesis -a claude-code`. Or copy the skill folder (Review-of-Educational-Research-Skills/skills/revedres-literature-synthesis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/revedres-literature-synthesis in your project. Claude Code loads it when a task matches its description.

How do I install Revedres Literature Synthesis in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill revedres-literature-synthesis -a codex`. Or copy the skill folder (Review-of-Educational-Research-Skills/skills/revedres-literature-synthesis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/revedres-literature-synthesis in your project. Codex loads it when a task matches its description.

Can I use Revedres Literature Synthesis 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 revedres-literature-synthesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/revedres-literature-synthesis, .gemini/skills/revedres-literature-synthesis, .github/skills/revedres-literature-synthesis and .opencode/skills/revedres-literature-synthesis in your project.

What does Revedres Literature Synthesis need to run?

SKILL.md names no scripts, command-line tools or credentials: Revedres Literature Synthesis is instructions for the agent only.

Does Revedres Literature Synthesis 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 Revedres Literature Synthesis 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 Revedres Literature Synthesis use?

Revedres Literature Synthesis 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 Revedres Literature Synthesis use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Revedres Literature Synthesis?

Skills that share tags, products or a category with Revedres Literature Synthesis: Content Create Hero Image (prisma/web, 1.1k stars), Prisma Client API (curvenote/curvenote, 170 stars), Docs Writer (prisma/web, 1.1k stars) and Prisma (blencorp/claude-code-kit, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Revedres Literature Synthesis?

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.