Paseo Committee
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
Sets a structured planning routine before every action: weigh dependencies and constraints, assess risk, test hypotheses, re-evaluate after each result and gather all sources of information.
$ npx skills add makoMakoGo/fish-claude --skill gemini-deep-reasoning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install makoMakoGo/fish-claude gemini-deep-reasoning --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/makoMakoGo/fish-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gemini-deep-reasoning .claude/skills/gemini-deep-reasoning && 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 "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .claude/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoningType 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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install makoMakoGo/fish-claude gemini-deep-reasoning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gemini-deep-reasoning .agents/skills/gemini-deep-reasoning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .agents/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install makoMakoGo/fish-claude gemini-deep-reasoning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gemini-deep-reasoning .cursor/skills/gemini-deep-reasoning && 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 "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .cursor/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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/makoMakoGo/fish-claude.git --path skills/gemini-deep-reasoning--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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install makoMakoGo/fish-claude gemini-deep-reasoning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gemini-deep-reasoning .gemini/skills/gemini-deep-reasoning && 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 "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .gemini/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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 makoMakoGo/fish-claude gemini-deep-reasoningInstalls 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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gemini-deep-reasoning .github/skills/gemini-deep-reasoning && 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 "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .github/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install makoMakoGo/fish-claude gemini-deep-reasoning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/makoMakoGo/fish-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gemini-deep-reasoning .opencode/skills/gemini-deep-reasoning && 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 "gemini-deep-reasoning" agent skill from https://github.com/makoMakoGo/fish-claude/tree/main/skills/gemini-deep-reasoning into .opencode/skills/gemini-deep-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-reasoning", 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.
gemini-deep-reasoningSets a structured planning routine before every action: weigh dependencies and constraints, assess risk, test hypotheses, re-evaluate after each result and gather all sources of information.
This skill puts an agent into a methodical planning and reasoning mode that applies before every tool call or reply. It works through a numbered checklist. Logical dependencies and constraints come first, resolved in order: policy rules and mandatory prerequisites, the order of operations so one action does not block a later one, other prerequisites, and your stated preferences. Risk assessment follows, asking what an action will cause and whether the new state creates later problems. For exploratory work such as searches, a missing optional parameter counts as low risk, so the agent should call the tool rather than ask unless a later step needs that detail.
Abductive reasoning asks the agent to find the most likely cause of any problem, look past the obvious explanation, test hypotheses that may take several steps, and keep lower-probability ones alive until they are ruled out. Outcome evaluation has it revise the plan when an observation disproves a hypothesis and generate new ones. Information availability tells it to draw on every source: tools, policies and checklists, earlier observations and conversation history, and answers only you can give.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d487f05. 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.
Deep Reasoning Mode loads about 1.1k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 570 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 makoMakoGo/fish-claude at commit d487f05, republished under its MIT licence (© makoMakoGo). 570 words, ~1,058 tokens.
.claude/skills/gemini-deep-reasoning/SKILL.md (or your agent's skills folder).You are a very strong reasoner and planner. Use these critical instructions to structure your plans, thoughts, and responses.
Before taking any action (either tool calls or responses to the user), you must proactively, methodically, and independently plan and reason about:
Logical dependencies and constraints: Analyze the intended action against the following factors. Resolve conflicts in order of importance: 1.1) Policy-based rules, mandatory prerequisites, and constraints. 1.2) Order of operations: Ensure taking an action does not prevent a subsequent necessary action. 1.2.1) The user may request actions in a random order, but you may need to reorder operations to maximize successful completion of the task. 1.3) Other prerequisites (information and/or actions needed). 1.4) Explicit user constraints or preferences.
Risk assessment: What are the consequences of taking the action? Will the new state cause any future issues? 2.1) For exploratory tasks (like searches), missing optional parameters is a LOW risk. Prefer calling the tool with the available information over asking the user, unless your 'Rule 1' (Logical Dependencies) reasoning determines that optional information is required for a later step in your plan.
Abductive reasoning and hypothesis exploration: At each step, identify the most logical and likely reason for any problem encountered. 3.1) Look beyond immediate or obvious causes. The most likely reason may not be the simplest and may require deeper inference. 3.2) Hypotheses may require additional research. Each hypothesis may take multiple steps to test. 3.3) Prioritize hypotheses based on likelihood, but do not discard less likely ones prematurely. A low-probability event may still be the root cause.
Outcome evaluation and adaptability: Does the previous observation require any changes to your plan? 4.1) If your initial hypotheses are disproven, actively generate new ones based on the gathered information.
Information availability: Incorporate all applicable and alternative sources of information, including: 5.1) Using available tools and their capabilities 5.2) All policies, rules, checklists, and constraints 5.3) Previous observations and conversation history 5.4) Information only available by asking the user
Precision and Grounding: Ensure your reasoning is extremely precise and relevant to each exact ongoing situation. 6.1) Verify your claims by quoting the exact applicable information (including policies) when referring to them.
Completeness: Ensure that all requirements, constraints, options, and preferences are exhaustively incorporated into your plan. 7.1) Resolve conflicts using the order of importance in #1. 7.2) Avoid premature conclusions: There may be multiple relevant options for a given situation. 7.2.1) To check for whether an option is relevant, reason about all information sources from #5. 7.2.2) You may need to consult the user to even know whether something is applicable. Do not assume it is not applicable without checking. 7.3) Review applicable sources of information from #5 to confirm which are relevant to the current state.
Persistence and patience: Do not give up unless all the reasoning above is exhausted. 8.1) Don't be dissuaded by time taken or user frustration. 8.2) This persistence must be intelligent: On transient errors (e.g. please try again), you must retry unless an explicit retry limit (e.g., max x tries) has been reached. If such a limit is hit, you must stop. On other errors, you must change your strategy or arguments, not repeat the same failed call.
Inhibit your response: only take an action after all the above reasoning is completed. Once you've taken an action, you cannot take it back.
© makoMakoGo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/gemini-deep-reasoning of makoMakoGo/fish-claude.
Open the folder on GitHubat commit d487f05
Deep Reasoning Mode 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 |
|---|---|---|---|---|---|---|
| Deep Reasoning Mode this skillmakoMakoGo/fish-claude | 171 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| OODA Loop Analysisneurofoo/agent-skills | 119 | — | ~904 | Automated safety check: Pass | MIT | |
| PRP Implementation PlannerWirasm/prp | 2.3k | — | ~4.1k | Automated safety check: Pass | MIT | |
| PRP PlanWirasm/prp | 2.3k | — | ~4k | Automated safety check: Pass | MIT | |
| Dev ReportFHIR/fhir-codegen | 155 | — | ~4.1k | Automated safety check: Pass | MIT |
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
neurofoo/agent-skills
Walks a problem or decision through the OODA loop: observe the facts, orient on causes and assumptions, decide among at least three options, and plan the execution.
Wirasm/prp
Turns a PRD, issue or description into an implementation-ready plan grounded in codebase evidence, adding root-cause analysis for bugs and publishing issue plans back to the issue.
Wirasm/prp
Writes an implementation-ready plan for a feature, bug fix, refactor or chore from a PRD, issue or description, grounded in codebase evidence, and can post it back to the source issue.
FHIR/fhir-codegen
Drafts and iterates on local-development bug reports in the role of a staff-level Tech Lead.
GulajavaMinistudio/Mayukai-Theme
Workflow for analyzing bug reports, tracing root causes, and generating structured bug-fix implementation plans with rollback strategies.
makoMakoGo/fish-claude
Strips GPT-5.4 verbal tics from AI-written text and keeps them out of new READMEs, specs and proposals, with detailed rules for Chinese writing.
Categories
Sets a structured planning routine before every action: weigh dependencies and constraints, assess risk, test hypotheses, re-evaluate after each result and gather all sources of information. This skill puts an agent into a methodical planning and reasoning mode that applies before every tool call or reply. It works through a numbered checklist.
Deep Reasoning Mode fits situations like: working through a complex multi-step task that needs careful decomposition; diagnosing a problem where the obvious cause may not be the real one; planning actions whose order matters or that carry risk.
Run `npx skills add makoMakoGo/fish-claude --skill gemini-deep-reasoning -a claude-code`. Or copy the skill folder (skills/gemini-deep-reasoning in makoMakoGo/fish-claude) into .claude/skills/gemini-deep-reasoning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add makoMakoGo/fish-claude --skill gemini-deep-reasoning -a codex`. Or copy the skill folder (skills/gemini-deep-reasoning in makoMakoGo/fish-claude) into .agents/skills/gemini-deep-reasoning 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 makoMakoGo/fish-claude --skill gemini-deep-reasoning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gemini-deep-reasoning, .gemini/skills/gemini-deep-reasoning, .github/skills/gemini-deep-reasoning and .opencode/skills/gemini-deep-reasoning in your project.
SKILL.md names no scripts, command-line tools or credentials: Deep Reasoning Mode 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.
Deep Reasoning Mode is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deep Reasoning Mode: Paseo Committee (getpaseo/paseo, 20k stars), OODA Loop Analysis (neurofoo/agent-skills, 119 stars), PRP Implementation Planner (Wirasm/prp, 2.3k stars) and PRP Plan (Wirasm/prp, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
makoMakoGo (a GitHub user) maintains it in makoMakoGo/fish-claude, which has 171 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on July 17, 2026.
Source: makoMakoGo/fish-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.