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Works on any plain text input provided inline or from a file path.\ncompatibility: Python 3.10+, no external dependencies\nmetadata:\n  author: SkillEvaluator Maintainers \u003Cmaintainers@example.com>\n---\n\n# Text Analyzer\n\nAnalyze text and produce structured statistics.\n\n## Purpose\n\nProvide quick text analytics — word counts, line counts, character counts,\ntop frequent words, average word length, and sentence count — for any\nplain-text input.\n\n## Agent Instructions\n\n1. Read this SKILL.md to understand capabilities.\n2. Run `scripts\u002Fanalyze_text.py` with the appropriate arguments.\n3. Return the analysis results to the user.\n\n## Examples\n\n### Usage\n\n```bash\n# Analyze inline text\npython scripts\u002Fanalyze_text.py --text \"Your text content here\"\n\n# Analyze a file\npython scripts\u002Fanalyze_text.py --file \u002Fpath\u002Fto\u002Ffile.txt\n\n# JSON output (default is human-readable)\npython scripts\u002Fanalyze_text.py --text \"Hello world\" --json\n```\n\n### Output\n\nThe script prints a structured report with:\n- **Word count** — total words\n- **Line count** — total lines\n- **Character count** — total characters (including whitespace)\n- **Sentence count** — estimated sentence count\n- **Average word length** — mean characters per word\n- **Top 5 words** — most frequent words and their counts\n\n## Limitations\n\n- Sentence detection uses simple period\u002Fquestion\u002Fexclamation splitting;\n  may be inaccurate for abbreviations (e.g., \"U.S.A.\").\n- Non-UTF-8 files will be read with errors replaced.\n\n## Troubleshooting\n\n| Problem | Fix 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Make GET, POST, PUT, DELETE requests to any endpoint with custom headers and JSON body.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[477,480,483],{"name":478,"slug":479,"type":15},"API Development","api-development",{"name":481,"slug":482,"type":15},"Automation","automation",{"name":484,"slug":485,"type":15},"REST API","rest-api","2026-08-31T09:18:49.771371",{"slug":488,"name":488,"fn":489,"description":490,"org":491,"tags":492,"stars":20,"repoUrl":21,"updatedAt":499},"calculator","evaluate mathematical expressions and unit conversions","Evaluate mathematical expressions and unit conversions. Handles arithmetic, percentages, exponents, and common unit conversions (temperature, distance, weight). No external dependencies.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[493,496],{"name":494,"slug":495,"type":15},"Analysis","analysis",{"name":497,"slug":498,"type":15},"Mathematics","mathematics","2026-08-31T09:19:10.508338",{"slug":501,"name":501,"fn":502,"description":503,"org":504,"tags":505,"stars":20,"repoUrl":21,"updatedAt":513},"create-custom-grader","create custom SkillEvaluator graders","Use when converting an existing benchmark, rubric, verifier, task YAML\u002FJSON, or domain check into SkillEvaluator BYOG\u002FBYOT custom evaluation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[506,509,510],{"name":507,"slug":508,"type":15},"Evals","evals",{"name":9,"slug":8,"type":15},{"name":511,"slug":512,"type":15},"Testing","testing","2026-08-31T09:19:06.795331",{"slug":515,"name":515,"fn":516,"description":517,"org":518,"tags":519,"stars":20,"repoUrl":21,"updatedAt":527},"task-list","manage multi-step task lists","Required for 4+ step requests; add tasks at start and update status after each step.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[520,521,524],{"name":9,"slug":8,"type":15},{"name":522,"slug":523,"type":15},"Productivity","productivity",{"name":525,"slug":526,"type":15},"Task Management","task-management","2026-08-31T09:18:45.27459",{"slug":4,"name":4,"fn":5,"description":6,"org":529,"tags":530,"stars":20,"repoUrl":21,"updatedAt":22},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[531,532,533],{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},{"items":535,"total":689},[536,554,571,582,594,608,621,635,646,657,671,680],{"slug":537,"name":537,"fn":538,"description":539,"org":540,"tags":541,"stars":551,"repoUrl":552,"updatedAt":553},"nemoclaw-user-guide","retrieve NemoClaw documentation and configuration","Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. 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Covers the two pin sites (GitHub CI in `docker\u002F.ngc_version.dev` and GitLab CI in `.gitlab\u002Fstages\u002F01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[577,580],{"name":578,"slug":579,"type":15},"CI\u002FCD","ci-cd",{"name":564,"slug":565,"type":15},"2026-07-14T05:25:59.97109",{"slug":583,"name":583,"fn":584,"description":585,"org":586,"tags":587,"stars":568,"repoUrl":569,"updatedAt":593},"mcore-cicd","manage CI\u002FCD pipelines for Megatron-LM","CI\u002FCD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request\u002FBRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[588,589,590],{"name":578,"slug":579,"type":15},{"name":564,"slug":565,"type":15},{"name":591,"slug":592,"type":15},"GitHub","github","2026-08-28T14:38:16.959248",{"slug":595,"name":595,"fn":596,"description":597,"org":598,"tags":599,"stars":568,"repoUrl":569,"updatedAt":607},"mcore-create-issue","investigate CI failures and create issues","Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[600,603,604],{"name":601,"slug":602,"type":15},"Debugging","debugging",{"name":591,"slug":592,"type":15},{"name":605,"slug":606,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":609,"name":609,"fn":610,"description":611,"org":612,"tags":613,"stars":568,"repoUrl":569,"updatedAt":620},"mcore-linting-and-formatting","lint and format Megatron-LM code","Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[614,617],{"name":615,"slug":616,"type":15},"Best Practices","best-practices",{"name":618,"slug":619,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":622,"name":622,"fn":623,"description":624,"org":625,"tags":626,"stars":568,"repoUrl":569,"updatedAt":634},"mcore-migrate-gpt-to-hybrid","migrate Megatron-LM models to HybridModel","Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel, including the mechanical steps for transferring an existing pretrain_gpt.py launch script.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[627,630,633],{"name":628,"slug":629,"type":15},"Machine Learning","machine-learning",{"name":631,"slug":632,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-08-21T03:36:57.470256",{"slug":636,"name":636,"fn":637,"description":638,"org":639,"tags":640,"stars":568,"repoUrl":569,"updatedAt":645},"mcore-onboard-gb200-1node-tests","onboard functional tests for GB200","Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[641,644],{"name":642,"slug":643,"type":15},"QA","qa",{"name":511,"slug":512,"type":15},"2026-07-14T05:25:53.673039",{"slug":647,"name":647,"fn":648,"description":649,"org":650,"tags":651,"stars":568,"repoUrl":569,"updatedAt":656},"mcore-run-on-slurm","launch distributed training jobs on SLURM","How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[652,653],{"name":564,"slug":565,"type":15},{"name":654,"slug":655,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":658,"name":658,"fn":659,"description":660,"org":661,"tags":662,"stars":568,"repoUrl":569,"updatedAt":670},"mcore-split-pr","split pull requests to reduce review load","Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[663,666,667],{"name":664,"slug":665,"type":15},"Code Review","code-review",{"name":591,"slug":592,"type":15},{"name":668,"slug":669,"type":15},"Pull Requests","pull-requests","2026-08-25T03:29:16.211287",{"slug":672,"name":672,"fn":673,"description":674,"org":675,"tags":676,"stars":568,"repoUrl":569,"updatedAt":679},"mcore-testing","run and manage Megatron-LM tests","Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[677,678],{"name":642,"slug":643,"type":15},{"name":511,"slug":512,"type":15},"2026-07-14T05:25:54.928983",{"slug":681,"name":681,"fn":682,"description":683,"org":684,"tags":685,"stars":568,"repoUrl":569,"updatedAt":688},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[686,687],{"name":481,"slug":482,"type":15},{"name":578,"slug":579,"type":15},"2026-07-30T05:29:03.275638",563]