Draft results sections for academic manuscripts with APA 7th tables and narrative flow.
$ npx skills add TyrealQ/q-skills --skill q-results -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TyrealQ/q-skills q-results --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/TyrealQ/q-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/q-scholar/q-results .claude/skills/q-results && 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 "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .claude/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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/TyrealQ/q-skills/tree/main/skills/q-scholar/q-resultsType 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 TyrealQ/q-skills --skill q-results -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TyrealQ/q-skills q-results --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/q-scholar/q-results .agents/skills/q-results && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .agents/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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 TyrealQ/q-skills --skill q-results -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TyrealQ/q-skills q-results --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/q-scholar/q-results .cursor/skills/q-results && 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 "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .cursor/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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/TyrealQ/q-skills.git --path skills/q-scholar/q-results--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 TyrealQ/q-skills --skill q-results -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TyrealQ/q-skills q-results --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/q-scholar/q-results .gemini/skills/q-results && 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 "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .gemini/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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 TyrealQ/q-skills q-resultsInstalls 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 TyrealQ/q-skills --skill q-results -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/q-scholar/q-results .github/skills/q-results && 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 "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .github/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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 TyrealQ/q-skills --skill q-results -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TyrealQ/q-skills q-results --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TyrealQ/q-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/q-scholar/q-results .opencode/skills/q-results && 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 "q-results" agent skill from https://github.com/TyrealQ/q-skills/tree/main/skills/q-scholar/q-results into .opencode/skills/q-results/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "q-results", 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.
q-resultsDraft results sections for academic manuscripts with APA 7th tables and narrative flow.
Q Results is an agent skill from TyrealQ/q-skills. Draft results sections for academic manuscripts with APA 7th tables and narrative flow. Use for writing results, presenting findings, formatting statistical tables, or reporting quantitative analysis.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/results_template.md`).
It sits in Data & Analytics, covering Hypothesis generation. The repository describes itself as: End-to-end skills for academic writing, data analysis, teaching, and research communication. The licence is MIT.
Read from SKILL.md and the folder at commit d8aaee7. 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.
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.
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.
Q Results loads about 1.3k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 637 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); files beside SKILL.md are not scanned.
The full file from TyrealQ/q-skills at commit d8aaee7, republished under its MIT licence (© TyrealQ). 637 words, ~1,308 tokens.
.claude/skills/q-results/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Draft results sections following APA 7th edition standards with narrative flow and properly formatted tables.
The template describes what goes where; this section describes why each element appears where it does and how findings build narratively.
Orient the reader to the full analytical landscape before presenting specific findings. Summarize what analyses were conducted, how the section is organized, and what the reader should expect. This paragraph earns the reader's attention by previewing the story the data tells.
Organize by research question, not by statistical test — the reader follows the argument, not the toolchain. For each RQ: state what was analyzed, present key findings with statistics, reference supporting tables, and transition to the next RQ by connecting what was just found to what comes next. Tables support the narrative but do not replace it; every table should be introduced before it appears and interpreted after. Summarize patterns rather than exhaustively listing every result.
Brief synthesis of key findings without interpretation. Connect the findings back to the research questions. Do not introduce new results or offer theoretical explanations — those belong in the discussion.
| Step | Action | Reference |
|---|---|---|
| 1 | Identify research questions and corresponding analyses | — |
| 2 | Draft sections organized by RQ, not by statistical test; use template as structural guide, not verbatim script | references/results_template.md |
| 3 | Format tables per APA 7th | ../references/table_formatting.md |
| 4 | Separate core findings (main text) from peripheral detail (appendix) | ../references/appendix_template.md |
| 5 | Ask user to refine the core-vs-peripheral boundary | — |
| 6 | Tighten: apply Core Principles, ensure no interpretation beyond connectors | ../references/apa_style_guide.md |
The main text tells the story of the findings; appendices provide the evidence trail for verification and reproducibility.
Core results (main text): Findings that directly answer the research questions, including the key tables and statistics needed to follow the narrative. Present only the most informative tables inline; summarize patterns rather than exhaustively listing every pathway, configuration, or subgroup.
Peripheral results (appendices): Complete truth tables, full solution tables with all equivalent models, exhaustive cross-tabulations, detailed robustness checks, sensitivity analyses, and supplementary breakdowns by subgroup or condition. Reference these at the point of relevance: "complete results in Table A4" or "detailed breakdowns are available in Appendix B."
When to move results to an appendix:
Then ask the user to refine the core-vs-peripheral boundary for their study, since it is context-dependent. What counts as a core table in one analysis may be appendix material in another depending on the research questions and audience.
Include: Statistical findings, pattern discoveries, comparative analyses, distribution results. Reserve: Theoretical interpretation, implications, causal explanations (discussion).
© TyrealQ, 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 1 other file (references) in skills/q-scholar/q-results of TyrealQ/q-skills.
Open the folder on GitHubat commit d8aaee7
Q Results 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 |
|---|---|---|---|---|---|---|
| Q Results this skillTyrealQ/q-skills | 108 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Framing Research QuestionsK-Dense-AI/science-superpowers | 350 | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Spatial AnalysisGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~8.1k | Automated safety check: Warn | None | |
| Scholar Datajoshzyj/open-scholar-skill | 168 | — | ~23k | Automated safety check: Notes | Custom licence | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab | 1k | — | ~2.2k | Automated safety check: Pass | MIT |
K-Dense-AI/science-superpowers
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…
GRIND-Lab-Core/night_owl_research_agent
Guideline-driven spatial analysis skill. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
joshzyj/open-scholar-skill
Comprehensive open data directory (100+ datasets across 14 categories) with auto-fetch capability, plus data collection instrument design, variable dictionaries, data management, IRB materials, and…
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
aipoch/medical-research-skills
Automated LLM-driven hypothesis generation and testing for tabular datasets; use when you need systematic exploration of empirical patterns (e.g., fraud detection, content analysis) and want to…
TyrealQ/q-skills
Converts a report or other document into a business story and then an infographic image, pausing for your review after each step.
TyrealQ/q-skills
Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.
TyrealQ/q-skills
Extracts pixel, video-frame, speech, music and visual-semantic features from image, video and audio files for research datasets, using local tools or the Gemini API.
TyrealQ/q-skills
Consolidates BERTopic, LDA or NMF topic output into a theory-driven classification framework and writes the final labels back to an Excel file.
TyrealQ/q-skills
Generates branded slide deck images from written content, with a content analysis step, a layout catalog and scripts that merge the slides into PowerPoint or PDF.
TyrealQ/q-skills
Audits a repository's file layout and project documentation against a written convention file, then proposes moves, deletions and doc fixes as an approved plan before touching anything.
Categories
Draft results sections for academic manuscripts with APA 7th tables and narrative flow. Q Results is an agent skill from TyrealQ/q-skills. Draft results sections for academic manuscripts with APA 7th tables and narrative flow.
Q Results fits situations like: writing results; presenting findings; formatting statistical tables; reporting quantitative analysis.
Run `npx skills add TyrealQ/q-skills --skill q-results -a claude-code`. Or copy the skill folder (skills/q-scholar/q-results in TyrealQ/q-skills) into .claude/skills/q-results in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TyrealQ/q-skills --skill q-results -a codex`. Or copy the skill folder (skills/q-scholar/q-results in TyrealQ/q-skills) into .agents/skills/q-results 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 TyrealQ/q-skills --skill q-results -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/q-results, .gemini/skills/q-results, .github/skills/q-results and .opencode/skills/q-results in your project.
SKILL.md names no scripts, command-line tools or credentials: Q Results is instructions for the agent only.
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. Review the folder before installing.
Q Results is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Q Results: Framing Research Questions (K-Dense-AI/science-superpowers, 350 stars), Spatial Analysis (GRIND-Lab-Core/night_owl_research_agent, 106 stars), Scholar Data (joshzyj/open-scholar-skill, 168 stars) and Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
TyrealQ (a GitHub user) maintains it in TyrealQ/q-skills, which has 108 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 23, 2026.
Source: TyrealQ/q-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
