Primer Design
K-Dense-AI/scientific-agent-skills
Designs and audits PCR and RT-qPCR primers with Primer3, explicit thermodynamic conditions, reference-based off-target amplification searches, and traceable sequence coordinates.
Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to…
MITAuto-check passed
Install AI Context Primer
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-context-primer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-context-primer --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-context-primer .claude/skills/ai-context-primer && 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 "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .claude/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primerType 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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-context-primer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-context-primer .agents/skills/ai-context-primer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .agents/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-context-primer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-context-primer .cursor/skills/ai-context-primer && 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 "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .cursor/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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/mohitagw15856/pm-claude-skills.git --path skills/ai-context-primer--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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-context-primer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-context-primer .gemini/skills/ai-context-primer && 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 "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .gemini/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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 mohitagw15856/pm-claude-skills ai-context-primerInstalls 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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-context-primer .github/skills/ai-context-primer && 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 "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .github/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-context-primer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-context-primer .opencode/skills/ai-context-primer && 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 "ai-context-primer" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-context-primer into .opencode/skills/ai-context-primer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-context-primer", 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
ai-context-primer- GitHub stars
- 1.4k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 605 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to…
- Works in 5 steps: Name what the AI can't know. It has no… → Assemble the five pieces. Who (audience… → Show, don't just tell. An example of the… → …
- Asked why does AI give me generic answers
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Brief It Like It… and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Context Primer is an agent skill from mohitagw15856/pm-claude-skills. Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the…
Its SKILL.md is about 1.2k 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: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked why does AI give me generic answers
- How do I give AI better context
- My AI results are mediocre
- How do I get it right the first time
Example prompts
- “/ai-context-primer”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Name what the AI can't know. It has no access to your situation, audience, standards, or prior work — list what it'd need to tailor the…
- Assemble the five pieces. Who (audience + you), what (goal + background), constraints (must/must-not), examples (what good looks like)…
- Show, don't just tell. An example of the output you want, or a reference you like, teaches the AI more than a paragraph of description…
- Cut the noise. More context isn't better — irrelevant detail dilutes the signal. Keep what changes the output, drop what doesn't.
- Make it reusable. Package it as a primer block you can paste ahead of similar requests, not something you rebuild each time.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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
AI Context Primer loads about 1.2k tokens when it runs. Until then it costs about 168 tokens; SKILL.md has 605 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 605 words, ~1,171 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-context-primer/SKILL.md (or your agent's skills folder).- name
- ai-context-primer
- description
- Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the difference between a starved prompt and a well-briefed one, and what to leave out — turning vague back-and-forth into a strong first result.
AI-Context Primer
Generic AI answers are almost always a context problem, not a model problem — you asked for something the AI had no way to tailor, so it gave you the average of everything. The fix is priming: giving it the background, constraints, examples, and format it can't guess before you make the request. This builds that primer for your task, so the first result is close, not a starting point you spend five rounds correcting.
What This Skill Produces
- The context this task actually needs — the who (audience, you), the what (goal, background), the constraints (must/must-not), the examples (what good looks like), and the format (structure, length, tone)
- A reusable primer block — a clean paste-ahead of your request that briefs the AI properly, not a one-off
- The gap it fills — what the AI was missing that made earlier answers generic, made explicit
- What to leave out — the noise that dilutes rather than helps, so the primer stays sharp
- Starved vs briefed, shown — a quick before/after so you feel the difference context makes
- A primer habit — how to make briefing-before-asking your default for tasks that matter
Required Inputs
Ask for these if not provided:
- The task — what you want the AI to do
- The background it can't guess — your situation, audience, goal, prior context
- What good looks like — an example, a reference, or the standard you're holding it to
- Constraints — must-haves, must-avoids, length, tone, format
- What went generic before — if you've tried, what was off (points at the missing context)
Framework: Brief It Like It Knows Nothing About You
- Name what the AI can't know. It has no access to your situation, audience, standards, or prior work — list what it'd need to tailor the answer, because that's exactly what's missing.
- Assemble the five pieces. Who (audience + you), what (goal + background), constraints (must/must-not), examples (what good looks like), format (structure/length/tone) — the reliable spine of good context.
- Show, don't just tell. An example of the output you want, or a reference you like, teaches the AI more than a paragraph of description — include one where the task is fuzzy.
- Cut the noise. More context isn't better — irrelevant detail dilutes the signal. Keep what changes the output, drop what doesn't.
- Make it reusable. Package it as a primer block you can paste ahead of similar requests, not something you rebuild each time.
Show full SKILL.md (211 more words)Show less
Output Format
Context primer: [the task]
Who: [audience + relevant about you]. What: [goal + the background it can't guess]. Constraints: [must-haves · must-avoids · length/tone]. Example of good: [a sample or reference — where the task is fuzzy]. Format: [structure / length / tone you want].
Paste-ahead primer:
[the assembled block, ready to put before your request]
Why earlier answers were generic: [the missing piece this fills]. Leave out: [the noise that would dilute it].
Quality Checks
- Identifies what the AI genuinely can't know for this task
- Assembles who / what / constraints / example / format
- Includes an example of "good" where the task is fuzzy
- Cuts irrelevant detail that dilutes the signal
- Packages a reusable primer, not a one-off
Anti-Patterns
- Blaming the model for what's really missing context.
- A wall of irrelevant background that dilutes the ask.
- Telling without showing — no example of what good looks like.
- Rebuilding context from scratch every time.
- Omitting the format and being surprised by the shape.
Example Trigger Phrases
- "Why does AI keep giving me generic, mediocre answers?"
- "How do I give AI enough context to get it right the first time?"
- "My AI results are bland — what am I not telling it?"
- "Help me brief the AI properly for this task."
- "Build me a context block I can paste before my requests."
© mohitagw15856, 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 skills/ai-context-primer of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Context Primer 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 |
|---|---|---|---|---|---|---|
| AI Context Primer this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Primer DesignK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Bio Primer Design Primer SpecificityGPTomics/bioSkills | 1.2k | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Bio Primer Design Qpcr PrimersGPTomics/bioSkills | 1.2k | 1 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Bio Primer Design Primer BasicsGPTomics/bioSkills | 1.2k | 1 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Health Wellnesssickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
Similar skills
Bio Primer Design Primer Specificity
GPTomics/bioSkills
Checks whether a PCR primer PAIR amplifies only the intended target genome-wide, using pair-aware in-silico PCR (MFEprimer-3.0, UCSC isPcr, NCBI Primer-BLAST) plus a primer3-py 3'-end-stability…
Bio Primer Design Qpcr Primers
GPTomics/bioSkills
Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative…
Bio Primer Design Primer Basics
GPTomics/bioSkills
Designs and ranks PCR primer pairs for a target template with primer3-py (designprimers), returning pairs with nearest-neighbor Tm, GC, product size, and complementarity scores.
Health Wellness
sickn33/agentic-awesome-skills
Wellbeing check-in register: anonymous flag, department, check-in date, wellbeing score, stress and energy levels, support and resource flags, confidentiality and status.
- Official
AWS Well Architected Review
github/awesome-copilot
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
More from mohitagw15856/pm-claude-skills
All 1,348 skills in this repoCar Tco
mohitagw15856/pm-claude-skills
Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…
Cs Health Scorecard
mohitagw15856/pm-claude-skills
Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.
Exit Waterfall
mohitagw15856/pm-claude-skills
Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.
Feature Prioritisation
mohitagw15856/pm-claude-skills
Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.
Fire Number
mohitagw15856/pm-claude-skills
Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.
Freelance Rate
mohitagw15856/pm-claude-skills
Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.
Questions about AI Context Primer
What does AI Context Primer do?
Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to…. AI Context Primer is an agent skill from mohitagw15856/pm-claude-skills. Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting.
When should I use AI Context Primer?
AI Context Primer fits situations like: asked why does AI give me generic answers; how do I give AI better context; my AI results are mediocre; how do I get it right the first time.
How do I install AI Context Primer in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-context-primer -a claude-code`. Or copy the skill folder (skills/ai-context-primer in mohitagw15856/pm-claude-skills) into .claude/skills/ai-context-primer in your project. Claude Code loads it when a task matches its description.
How do I install AI Context Primer in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-context-primer -a codex`. Or copy the skill folder (skills/ai-context-primer in mohitagw15856/pm-claude-skills) into .agents/skills/ai-context-primer in your project. Codex loads it when a task matches its description.
Can I use AI Context Primer 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 mohitagw15856/pm-claude-skills --skill ai-context-primer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-context-primer, .gemini/skills/ai-context-primer, .github/skills/ai-context-primer and .opencode/skills/ai-context-primer in your project.
What does AI Context Primer need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Context Primer is instructions for the agent only.
Does AI Context Primer 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 AI Context Primer 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 AI Context Primer use?
AI Context Primer 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 AI Context Primer use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 AI Context Primer?
Skills that share tags, products or a category with AI Context Primer: Primer Design (K-Dense-AI/scientific-agent-skills, 48k stars), Bio Primer Design Primer Specificity (GPTomics/bioSkills, 1.2k stars), Bio Primer Design Qpcr Primers (GPTomics/bioSkills, 1.2k stars) and Bio Primer Design Primer Basics (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Context Primer?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.