Record the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes.
$ npx skills add mohitagw15856/pm-claude-skills --skill outcome-tracker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills outcome-tracker --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/outcome-tracker .claude/skills/outcome-tracker && 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 "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .claude/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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/outcome-trackerType 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 outcome-tracker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills outcome-tracker --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/outcome-tracker .agents/skills/outcome-tracker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .agents/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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 outcome-tracker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills outcome-tracker --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/outcome-tracker .cursor/skills/outcome-tracker && 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 "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .cursor/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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/outcome-tracker--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 outcome-tracker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills outcome-tracker --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/outcome-tracker .gemini/skills/outcome-tracker && 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 "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .gemini/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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 outcome-trackerInstalls 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 outcome-tracker -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/outcome-tracker .github/skills/outcome-tracker && 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 "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .github/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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 outcome-tracker -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 outcome-tracker --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/outcome-tracker .opencode/skills/outcome-tracker && 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 "outcome-tracker" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/outcome-tracker into .opencode/skills/outcome-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-tracker", 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.
outcome-trackerRecord the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes.
Outcome Tracker is an agent skill from mohitagw15856/pm-claude-skills. Record the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes. Use when committing to a prioritisation, forecast, or plan (to log what it predicts), when asked to review what actually happened, or to compute how well-calibrated past RICE scores, forecasts, or bets have been. Produces a prediction record at decision time, and a calibration report with per-framework hit rates at review time.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/outcome_calibration.py`).
It sits in Product & Project Management, covering Prioritization frameworks and Performance reviews. 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.
Read from SKILL.md and the folder at commit 1cbf1f0. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From 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.
Outcome Tracker loads about 1.6k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 740 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); the scripts in this folder are not scanned.
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 740 words, ~1,564 tokens.
.claude/skills/outcome-tracker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Every prioritisation, forecast, and launch plan makes predictions — then everyone forgets to check them. This skill closes the loop: extract the predictions at decision time, park them somewhere durable, and score them against reality on a schedule. Over time it answers the question no one can answer today: which of our frameworks actually predict outcomes?
Ask for (if not already provided):
predictions/ folder in the Brain, or a JSON/markdown file in the repo)Walk the artifact and force each implicit claim into this shape — a prediction that can't fill the row doesn't get recorded, it gets flagged as untestable:
| Field | Rule |
|---|---|
claim | One sentence, future tense, about a measurable effect ("onboarding redesign lifts activation") |
metric | The exact instrumented metric, with today's baseline |
predicted | Direction + magnitude band ("+10-20% relative") — bands beat point estimates |
confidence | 0.5–0.95, from the author, recorded before the outcome is knowable |
check_by | The date the effect should be visible if real; also the review trigger |
framework | What produced the claim (rice-prioritisation, gut call, sales-forecasting-model…) — this is what calibration is about |
Typical yields: a RICE table → one prediction per top-3 item (impact claims); a forecast → the quarter's number; a launch plan → its success metrics; an OKR set → each KR's target.
For each prediction past its check_by: hit (actual within the predicted band), partial (right direction, wrong magnitude), miss (wrong direction or no effect), unresolvable (metric never instrumented, or confounded by a simultaneous change — record why; a pile of unresolvables is itself a finding about how the team instruments its bets). Never rescore or reinterpret the original claim to make it a hit — the record is append-only.
scripts/outcome_calibration.py (stdlib-only) computes the calibration report from a JSON array of prediction records:
python3 scripts/outcome_calibration.py predictions.json
echo '[{"framework":"rice-prioritisation","confidence":0.8,"outcome":"hit"}]' | python3 scripts/outcome_calibration.py -It reports per-framework hit rates (hits + half-credit partials over resolved), per-confidence-band calibration (do 80%-confidence claims land ~80% of the time?), and flags overconfident bands. Use the computed numbers; don't estimate them.
If a professional-brain (brain/) exists, records live in brain/predictions/<id>.md (one file per prediction, fields as frontmatter, [hunch]/[data] provenance on the baseline) and review mode starts by listing files with check_by in the past. Pair with schedule-recipe to run review mode monthly — outcome tracking only works as a ritual, not an intention.
Record mode:
| # | Claim | Metric (baseline) | Predicted | Confidence | Check by | Framework |
|---|---|---|---|---|---|---|
| Untestable claims flagged: [claim → what instrumentation would make it testable] |
Review mode:
| # | Claim | Predicted | Actual | Outcome | Learning |
|---|---|---|---|---|---|
| Now due next: [next check_by dates] |
Calibrate mode: the calculator's report plus 2-3 sentences of interpretation — which framework has earned trust, where the team is overconfident, and the single instrumentation fix that would resolve the most unresolvables.
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in skills/outcome-tracker of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Outcome Tracker 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 |
|---|---|---|---|---|---|---|
| Outcome Tracker this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Bio Clinical Databases Variant PrioritizationGPTomics/bioSkills | 1.2k | 2 repos | ~6.3k | Automated safety check: Pass | MIT | |
| Decision Matrixiflytek/skillhub | 5.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| High Output Management Frameworkamplitude/builder-skills | 159 | — | ~1.9k | Automated safety check: Pass | None | |
| Feature Investment Advisordeanpeters/Product-Manager-Skills | 7.2k | 1 repos | ~5.6k | Automated safety check: Pass | Custom licence | |
| Customizeanthropics/claude-for-legal | 9.6k | 2 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
GPTomics/bioSkills
Prioritizes rare-disease variants from trio/quad WES/WGS with de novo (DeNovoGear, Triodenovo), compound-heterozygous phasing (WhatsHap), mosaic VAF tiering, phenotype-driven ranking (Exomiser…
iflytek/skillhub
Compares options with pros and cons, weighted scoring, pre-mortems, opportunity costs and ICE prioritization, labeling assumptions instead of inventing numbers.
amplitude/builder-skills
Applies Andy Grove's High Output Management ideas to diagnose where a team loses output and to design meetings, processes and management decisions.
deanpeters/Product-Manager-Skills
Evaluates whether a feature deserves investment by weighing revenue connection, cost structure, ROI and strategic value, then gives a build or don't-build recommendation.
anthropics/claude-for-legal
Guided customization of your product counsel practice profile — change one thing without re-running the whole cold-start interview.
borghei/Claude-Skills
Research budgeting and funding operations — study budget construction, cost per participant and per insight, burn against milestones, and portfolio prioritisation by decision value.
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…
mohitagw15856/pm-claude-skills
Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.
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.
mohitagw15856/pm-claude-skills
Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.
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.
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.
Record the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes. Outcome Tracker is an agent skill from mohitagw15856/pm-claude-skills. Record the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes.
Outcome Tracker fits situations like: committing to a prioritisation; plan (to log what it predicts); asked to review what actually happened; compute how well-calibrated past RICE scores.
Run `npx skills add mohitagw15856/pm-claude-skills --skill outcome-tracker -a claude-code`. Or copy the skill folder (skills/outcome-tracker in mohitagw15856/pm-claude-skills) into .claude/skills/outcome-tracker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mohitagw15856/pm-claude-skills --skill outcome-tracker -a codex`. Or copy the skill folder (skills/outcome-tracker in mohitagw15856/pm-claude-skills) into .agents/skills/outcome-tracker 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 mohitagw15856/pm-claude-skills --skill outcome-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/outcome-tracker, .gemini/skills/outcome-tracker, .github/skills/outcome-tracker and .opencode/skills/outcome-tracker in your project.
Going by SKILL.md and its folder, Outcome Tracker needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Outcome Tracker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Outcome Tracker: Bio Clinical Databases Variant Prioritization (GPTomics/bioSkills, 1.2k stars), Decision Matrix (iflytek/skillhub, 5.2k stars), High Output Management Framework (amplitude/builder-skills, 159 stars) and Feature Investment Advisor (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.
