Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Takes a situation described in plain English, designs a short sequence of reasoning skills for it and runs them in order, each building on the last.
$ npx skills add human-avatar/skills-for-humanity --skill s4h -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h --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/human-avatar/skills-for-humanity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/s4h .claude/skills/s4h && 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 "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .claude/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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/human-avatar/skills-for-humanity/tree/main/skills/s4hType 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 human-avatar/skills-for-humanity --skill s4h -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/s4h .agents/skills/s4h && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .agents/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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 human-avatar/skills-for-humanity --skill s4h -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/s4h .cursor/skills/s4h && 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 "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .cursor/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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/human-avatar/skills-for-humanity.git --path skills/s4h--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 human-avatar/skills-for-humanity --skill s4h -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/s4h .gemini/skills/s4h && 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 "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .gemini/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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 human-avatar/skills-for-humanity s4hInstalls 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 human-avatar/skills-for-humanity --skill s4h -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/s4h .github/skills/s4h && 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 "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .github/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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 human-avatar/skills-for-humanity --skill s4h -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install human-avatar/skills-for-humanity s4h --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/s4h .opencode/skills/s4h && 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 "s4h" agent skill from https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h into .opencode/skills/s4h/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "s4h", 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.
s4hTakes a situation described in plain English, designs a short sequence of reasoning skills for it and runs them in order, each building on the last.
An orchestrator for open-ended problems. You describe your situation and goal; the skill asks about the goal, the obstacle and the decision you are facing, states back its reading in one sentence and checks it with you. It then designs an ordered chain of 2 to 5 skills drawn from across 23 categories and runs each step in turn, passing what each one reveals to the next.
Its design rules put framing before analysis, option generation before evaluation, and an understanding of the people involved before communication or ethics checks. Skills such as assumption-excavator, creativity-alternatives, decision-criteria-weighting and communication-audience-modeling appear as examples. It suits moments like working out where to start, rather than single-tool questions.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a30df8b. 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.
S4H Reasoning Orchestrator loads about 2.5k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 1,133 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 human-avatar/skills-for-humanity at commit a30df8b, republished under its MIT licence (© human-avatar). 1,133 words, ~2,455 tokens.
.claude/skills/s4h/SKILL.md (or your agent's skills folder).The master orchestration skill. You describe your situation and goal. This skill designs a tailored reasoning workflow — an ordered sequence of skills from across all 23 categories — then executes each step in sequence, feeding what each step reveals into the next. The result is compounding clarity, not a single tool's take.
If the user hasn't described their situation, ask:
What are you trying to achieve? Describe the situation and what a good outcome looks like.
Wait for their response before proceeding. Aim to understand:
If any of these are unclear after reading their description, ask one targeted follow-up question before designing the plan.
Framing check: Confirm the specific situation before continuing. State what you've identified — the goal, the obstacle, and the decision point — in one sentence, then use AskUserQuestion:
Design an ordered sequence of 2–5 skills that together address the goal. Each skill in the sequence should serve a distinct function, and the output of each should meaningfully inform the next.
Sequence design principles:
assumption-excavator or sensory-structured-observation before applying analytical tools.creativity-alternatives, decision-option-mapping, concept-fan) before evaluation skills (decision-criteria-weighting, logic-check, ethics-check).emotional-motivation-mapping or communication-audience-modeling before communication-objection-mapping or ethics-impact-scan.decision-premortem-analysis, constraint-hardness-testing, logic-fixer).systems-leverage-analysis, narrative-frame-analysis, aesthetic-coherence-check).Common workflow patterns:
| Goal type | Typical sequence |
|---|---|
| Make a complex decision | assumption-excavator → decision-option-mapping → decision-criteria-weighting → decision-premortem-analysis |
| Solve a stuck problem | assumption-excavator → creativity-lateral-thinking → creativity-alternatives → constraint-hardness-testing |
| Understand a human situation | emotional-motivation-mapping → social-power-mapping → communication-audience-modeling → ethics-empathy-circle |
| Communicate something difficult | communication-audience-modeling → communication-objection-mapping → communication-clarity-audit |
| Evaluate a plan or proposal | logic-check → decision-premortem-analysis → ethics-impact-scan → constraint-hardness-testing |
| Think through a strategy | systems-leverage-analysis → strategy-terrain → strategy-positioning → decision-premortem-analysis |
| Write or reshape something | writing-issues → writing-restructure → writing-tone-alignment → writing-line-editing |
| Understand a system or pattern | systems-feedback-mapping → systems-leverage-analysis → historical-precedent-analysis |
Use these as starting points. Adapt to the specific situation.
Before narrowing: Show the full candidate workflow to the user before committing to a sequence. Use AskUserQuestion:
Show the user the designed workflow before executing. Format it as an ordered list with the rationale for each step and the connection to the next:
Here's the plan I'd run for this:
1. **[skill-name]** — [why we start here; what it will surface]
→ feeds into step 2 by [how its output informs the next step]
2. **[skill-name]** — [what it does given step 1's output]
→ feeds into step 3 by [how its output informs the next step]
3. **[skill-name]** — [what it does given steps 1–2's output]
[last step: what we'll have at the end]Then ask: "Run this plan, adjust it, or go straight to a specific step?"
Use AskUserQuestion with:
Run the first skill immediately. After each skill completes, pause and use AskUserQuestion to offer the next move before continuing.
Before each step (after the first), output a brief handoff:
[skill-name] complete. Key finding: [1–2 sentences on what this step revealed and why it matters].
Then use AskUserQuestion to present what to do next:
/[skill-name], Description: [one sentence on why this fits as a follow-on and what it will produce given the current output]How to select next skill options:
Pick skills that directly consume the current output. Ask: given what we just learned, what's the most useful next question to answer?
| If the current step produced… | Strong next skills |
|---|---|
| Surfaced hidden assumptions | creativity-lateral-thinking, decision-option-mapping, constraint-hardness-testing |
| A list of options | decision-criteria-weighting, probability-scenario-weighting, decision-premortem-analysis |
| A stress-test or failure map | constraint-workaround-mapping, logic-fixer, strategy-positioning |
| A map of stakeholders or motivations | communication-objection-mapping, ethics-empathy-circle, social-incentive-analysis |
| A logic or argument check | logic-fixer, ethics-check, constraint-hardness-testing |
| A systems or leverage map | strategy-positioning, resource-bottleneck-analysis, temporal-horizon-mapping |
| A creative set of directions | decision-criteria-weighting, creativity-plus-minus-interesting, constraint-hardness-testing |
| A communication or framing analysis | writing-argument, narrative-frame-analysis, communication-clarity-audit |
When the user selects a skill, run it on the situation context plus all accumulated output so far. Do not re-explain the situation from scratch — build on what prior steps established.
If the user selects "Wrap up" at any point, jump to Step 5.
After all steps complete, output a synthesis section:
What the full sequence revealed:
The key tension or trade-off:
Recommended next action:
What to revisit:
© human-avatar, 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/s4h of human-avatar/skills-for-humanity.
Open the folder on GitHubat commit a30df8b
S4H Reasoning Orchestrator 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 |
|---|---|---|---|---|---|---|
| S4H Reasoning Orchestrator this skillhuman-avatar/skills-for-humanity | 231 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 104k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 72k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Writing Plansgeeksblabla/stateofdev.ma | 163 | 57 repos | ~661 | Automated safety check: Pass | None | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 37 repos | ~1.2k | Automated safety check: Pass | None |
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
geeksblabla/stateofdev.ma
A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
jd-opensource/JoySafeter
Implements Manus-style file-based planning for complex tasks.
human-avatar/skills-for-humanity
Runs a decision or policy question past five ethical frameworks, has them review one another, and returns a chair's synthesis of which values conflict.
human-avatar/skills-for-humanity
Run a reasoning problem, argument, plan, or decision through a council of 5 logical reasoning advisors who analyze it from distinct reasoning frameworks, peer-review each other, and synthesize a…
human-avatar/skills-for-humanity
Entry point for the aesthetic toolkit. An agent skill from human-avatar/skills-for-humanity.
human-avatar/skills-for-humanity
Tests whether the parts of something form a unified whole — finding the jarring inconsistencies that accumulate when different contributors work without a shared vision.
human-avatar/skills-for-humanity
Tests whether a solution is more complex than it needs to be — distinguishing necessary complexity from accidental complexity that accreted over time.
human-avatar/skills-for-humanity
Identifies the underlying formal pattern at work — because most successful designs, arguments, and solutions share deep structural patterns, and naming the pattern unlocks the playbook.
Categories
Takes a situation described in plain English, designs a short sequence of reasoning skills for it and runs them in order, each building on the last. An orchestrator for open-ended problems. You describe your situation and goal; the skill asks about the goal, the obstacle and the decision you are facing, states back its reading in one sentence and checks it with you.
S4H Reasoning Orchestrator fits situations like: you are unsure how to approach a messy situation; A decision needs several kinds of thinking in sequence; you want structured reasoning applied from start to finish.
Run `npx skills add human-avatar/skills-for-humanity --skill s4h -a claude-code`. Or copy the skill folder (skills/s4h in human-avatar/skills-for-humanity) into .claude/skills/s4h in your project. Claude Code loads it when a task matches its description.
Run `npx skills add human-avatar/skills-for-humanity --skill s4h -a codex`. Or copy the skill folder (skills/s4h in human-avatar/skills-for-humanity) into .agents/skills/s4h 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 human-avatar/skills-for-humanity --skill s4h -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/s4h, .gemini/skills/s4h, .github/skills/s4h and .opencode/skills/s4h in your project.
SKILL.md names no scripts, command-line tools or credentials: S4H Reasoning Orchestrator is instructions for the agent only. Our summary lists: The companion skills from the same collection that it chains together.
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.
S4H Reasoning Orchestrator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.8k 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 S4H Reasoning Orchestrator: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 104k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 72k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
human-avatar (a GitHub organization) maintains it in human-avatar/skills-for-humanity, which has 231 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 15, 2026.
Source: human-avatar/skills-for-humanity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.