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SkillsMP has collected 10 skills from Darwin-Agent/HarnessX. Open a skill to review its source and details.
Showing 10 of 10 collected skills.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of…
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used…
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting,…
How to read trajectories and extract useful experience — from successes and failures alike — into candidates for the 4 HarnessConfig levers. Covers the trajectory frontmatter schema (behaviour / eval / judge), the two axes of reflection (lens × lever), the…
Cross-round journal format — the multi-round memory that tells the next meta-agent what's been tried, what landed, and what got reverted. One `## Round N` section per evolve, with machine-parseable YAML frontmatter + free prose body. Read at the start of…
Component-authoring reference for HarnessX evolve rounds. Covers the @tool signature and TOOL_SPEC workflow, MultiHookProcessor (hook dispatch table, event fields, messages-mutation contract), system-prompt template editing (Cases A/B/C), config.yaml shape,…
Self-validation CLIs for the artifacts you write, plus the post-flight workflow the orchestrator runs after `end_turn`. Three categories — validity (canonicalize / dry_fire / contract / synthetic replay) blocks; policy (novelty / evidence) blocks on non-noop…
GAIA-specific benchmark guidance. Public-writeup-sourced techniques (markdown browser, file inspector, code-action agent, planning, multi-agent decomposition, query refinement, answer-format guard, early-commit nudge, prompt caching, majority voting) mapped…
τ²-bench-specific benchmark guidance (Sierra Research; retail / airline / telecom). Multi-turn dialogue eval with multiplicative reward (DB × action × NL-assertion) and pass^k reliability metric. Catalogues tau2 failure modes and techniques from public…
Terminal-Bench 2 benchmark-specific structural facts for meta-agent evolution rounds. Covers sandbox topology, tool constraints, evolvable config surface, and trajectory signal layout. Read before authoring any candidate that touches the system prompt,…